Data Entry Jobs in Jordan

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Data Protection &amp; DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed.<br> The role focuses on translating data classification requirements into practical, enforceable controls and reviewing existing data protection measures against industry best practices and NCA ECC standards.<br> Key Responsibilities: Translate data classification into practical controls — defining what data is sensitive and how it must be protected.<br> Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.<br> Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.<br> Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.<br> Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.<br> Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.<br> Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.<br> Arabic Speakers 6 years of relevant experience in data protection, DLP design, and governance.<br> Strong understanding of data classification frameworks and how to operationalize them into technical controls.<br> Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.<br> Ability to define secure configuration baselines and exception-handling processes.<br> Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.<br> Strong documentation skills for audit evidence, runbooks, and SOPs.<br> Strong communication skills to deliver training and knowledge transfer to internal teams.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Responsibilities</strong></p> <p><strong>JOB SUMMARY</strong></p> <p>The Data and AI Analyst drives data-informed decision-making and AI adoption across KEO - ensuring strong data foundations, delivering actionable insights, and identifying innovative opportunities to leverage AI technologies within and beyond the Microsoft ecosystem. This is not a traditional reporting role. The ideal candidate is a curious, forward-thinking technologist who combines technical proficiency in Microsoft Fabric, Azure Synapse, Power BI, and AI services with the consultative ability to translate business questions into data solutions - championing KEO's data literacy journey, embedding AI into reporting workflows, and ensuring all data practices meet governance, privacy, and compliance standards.</p> <p><strong>KEY TASKS AND RESPONSIBILITIES</strong></p> <p><strong>Data Foundations &amp; Data Quality Management</strong></p> <ul> <li>AI success is only possible with strong data foundations. This pillar is non-negotiable.</li> <li>Design, build, and maintain robust relational data models that support accurate, consistent, and trustworthy reporting across KEO business units.</li> <li>Design, build, and maintain robust relational data models, applying strong SQL skills and transformation logic to extract, cleanse, and integrate data from multiple source systems including Autodesk Construction Cloud, ERP, HRIS, and project management platforms. </li> <li>Define and enforce data quality standards - implementing validation rules, profiling routines, and a central data dictionary covering field definitions, lineage, and transformation rules to ensure all AI inputs are accurate, transparent, and auditable. </li> <li>Manage data integration workflows and ETL/ELT pipeline concepts, working with the Cloud Infrastructure team to ensure data flows are reliable and fault tolerant.</li> </ul> <p><strong>AI Literacy, Enablement &amp; Innovation Scouting</strong></p> <ul> <li>Curiosity and innovation mindset are the #1 differentiators of this role. The analyst must be an AI enabler, not just a report builder.</li> <li>Demonstrate deep conceptual understanding of generative AI, predictive analytics, machine learning, and automation AI - continuously exploring and evaluating emerging tools and platforms beyond the Microsoft ecosystem based on fit-for-purpose, cost, privacy, and scalability. </li> <li>Proactively experiment with new AI capabilities through structured proof-of-concept approaches, monitoring the global AI landscape to identify technologies with high potential value for KEO's AEC context. </li> <li>Provide the CIO and Enterprise Digital Solutions Manager with regular AI landscape briefings, tool evaluations, and strategic recommendations grounded in responsible AI principles.</li> </ul> <p><strong>Microsoft Copilot &amp; AI Productivity Expertise</strong></p> <ul> <li>Design and refine effective prompting strategies and reusable prompt libraries for Microsoft Copilot across Microsoft 365, identifying high-value workflow candidates for AI augmentation using Copilot, Power Automate, and Azure AI Services. </li> <li>Deliver Copilot adoption training and enablement sessions, measuring and reporting on productivity impact - tracking adoption metrics, time savings, and business outcomes to demonstrate ROI. </li> <li>Collaborate with the Digital Workplace and Digital Knowledge Analyst teams to embed Copilot capabilities into employee experience, service delivery, and KEO's SharePoint and Viva knowledge content.</li> </ul> <p><strong>Analytics, Business Intelligence &amp; Data Storytelling</strong></p> <ul> <li>Design, build, and maintain interactive Power BI dashboards and self-service reports using scalable DAX and Power Query data models, delivering real-time, decision-ready insights to KEO leadership and operational teams. </li> <li>Build meaningful data stories that translate findings into business language, conducting proactive analysis to surface trends, anomalies, and forward-looking insights beyond reactive reporting. </li> <li>Maintain a centralized BI catalogue and facilitate data literacy workshops to build confidence among business users in consuming and acting on data.</li> </ul> <p><strong>AI Use-Case Development &amp; Proof-of-Concept Delivery</strong></p> <ul> <li>Systematically identify and prioritize high-value AI opportunities across KEO business units - assessing feasibility, data readiness, and expected ROI across use cases including project risk prediction, resource forecasting, cost variance analysis, document intelligence, and automated reporting. </li> <li>Design and build lightweight AI proof-of-concept solutions using Microsoft Fabric AI, Azure OpenAI, or Azure Machine Learning, presenting results to the Enterprise Digital Solutions Manager and CIO in clear, business-focused language. </li> <li>Track business value delivered by implemented AI solutions and work with software developers to scale successful POCs into production, providing clear requirements, data specifications, and evaluation criteria.</li> </ul> <p><strong>Data Governance, Privacy &amp; Responsible AI</strong></p> <ul> <li>Own and maintain KEO's data governance framework - covering data classification, ownership, retention, access controls, and quality standards - implementing Microsoft Purview or equivalent tooling to manage data lineage, compliance, and discoverability. </li> <li>Apply responsible AI principles across all initiatives, ensuring transparency, fairness, accountability, and privacy are embedded from the outset, and work with the Cybersecurity &amp; Digital Trust Analyst to ensure all data assets are classified, RBAC-protected, and auditable. </li> </ul> <p><strong>Automation Mindset &amp; Workflow Optimization</strong></p> <ul> <li>Proactively identify manual, repetitive processes across KEO as strong candidates for automation using Power Automate, Copilot Studio, Logic Apps, or other low-code platforms, supporting the design and deployment of automation solutions in collaboration with the Digital Workplace team and software developers.</li> <li>Document automation opportunities with clear business cases covering time saved, error reduction, and productivity gains, evaluating ROI of implemented solutions and continuously improving based on user feedback.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualifications</strong></p> <ul> <li>Typically, 8-10+ years in a data analyst, business intelligence, or data &amp; AI role</li> <li>Advanced Power BI (DAX and Power Query) hands-on, not introductory</li> <li>Strong SQL and relational database knowledge</li> <li>Data modelling and data quality management experience</li> <li>Data pipeline and ETL/ELT concepts (working knowledge)</li> <li>Experience with Microsoft AI tools - Copilot, Azure AI Services, or Azure OpenAI</li> <li>Translating business requirements into data or AI solutions</li> <li>Microsoft Fabric, Azure Synapse Analytics, or Azure Machine Learning </li> <li>Evaluating and recommending AI tools across multiple vendors </li> <li>Microsoft Purview for data cataloguing and compliance </li> <li>Autodesk Construction Cloud, Primavera, Oracle, or SAP data integration </li> <li>Designing AI proofs-of-concept and presenting business cases to senior leadership</li> <li>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span>We support organizations in designing and delivering next-generation data platforms to accelerate analytics, decision-making, and innovation. Our work typically includes assessing architecture maturity, defining target-state data platform blueprints, and building pragmatic roadmaps that cover governance, protection, migration, and cloud enablement. We deliver in a consulting environment that requires strong stakeholder management, delivery discipline, compliance with regulatory requirements, and coordination across service lines when integrated delivery is needed. </span></p><p><strong>The opportunity</strong></p><p><span>This role sits within our AI Hub and focuses on data architecture advisory. You will help clients design and deliver modern data platforms that enable data-driven transformation. </span><span>You will assess current-state architecture, identify gaps and strategic goals, and define a clear improvement roadmap across topics such as data governance, data protection, data migration, and cloud journey. </span></p><p><strong>Your key responsibilities</strong></p><p><span>You will manage up to two projects in parallel, working closely with senior business leaders (Directors and Partners) to ensure delivery quality, manage risk, and meet client expectations on outcomes and timelines. </span><span>In this fast-moving space, you are also expected to contribute to business development by identifying opportunities and helping grow our work in the market. </span></p><p><strong>Skills and attributes for success</strong></p><div><ul><li><p><span>Define and evolve end-to-end data architecture blueprints and target-state roadmaps aligned to business goals </span></p></li></ul></div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Core Responsibilities:</strong></p> <ul> <li>Problem Framing &amp; Target Definition:</li> </ul> <ul> <li>Translate commercial goals into modeling problems (e.g., churn, propensity to buy, uplift, LTV, survival/tenure) with clear success metrics and guardrails</li> <li>Identify relevant data sources to mine for client business needs, and collect large structured and unstructured datasets and variables</li> </ul> <ul> <li>Data Analysis:</li> </ul> <ul> <li>Serve as data strategist to identify and integrate new datasets and execute analytical experiments to help solve problems across various domains and industries</li> <li>Devise and utilize algorithms and models to mine data, perform data and error analysis to improve models, clean and validate data for uniformity and accuracy</li> <li>Analyze data for trends and patterns, and interpret data with clear objectives in mind</li> </ul> <ul> <li>Model Development:</li> </ul> <ul> <li>Create reproducible pipelines and a feature registry to calculate model inputs</li> <li>Develop and evaluate churn, cross/upsell propensity, uplift/treatment effect, LTV, ranking/NBA models and select algorithms fit for data, scale, and explainability</li> <li>Use clear control/holdouts, quantify precision vs. recall, calibration, and profit curves, simulate outcomes and set practical thresholds and simple policies (eligibility, suppressions, frequency caps)</li> </ul> <ul> <li>Operationalization:</li> </ul> <ul> <li>Implement analytical models in production by collaborating with software developers and machine-learning engineers</li> <li>Implement scoring and integrate outputs with client MarTech/decisioning for SMS, email, in app, IVR, and agent assist</li> <li>Set up monitoring (performance, drift, calibration, data quality), alerting, and retrain cadence with rollback criteria</li> </ul> <ul> <li>Governance, Risk &amp; Explainability:</li> </ul> <ul> <li>Produce model cards, document features/exclusions, and run proportionate explainability/fairness checks for regulated contexts and maintain audit ready artifacts</li> </ul> <ul> <li>Enablement &amp; Acceleration:</li> </ul> <ul> <li>Create templates, reusable code, and quick start notebooks, /coach client analysts on model usage and monitoring</li> <li>Contribute to practice POVs/case studies as needed</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We re seeking an experienced data scientists to deliver insights and act as the hands on modeling lead on client engagements. You will slice and dice data using various methods and create new visions for the future. You ll frame problems, engineer features, build and deploy models, and monitor them in production to support the customer value creation activities. You will ship models that run at scale, withstand audit, and clearly link to incremental business value. While mining, interpreting, and cleaning the data, you will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data s full potential. The ideal candidate will have mathematical and statistical expertise, extensive programming experience in multiple languages along with natural curiosity and a creative mind.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Overview</strong><br><p><span>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</span><br><br><span>As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey.</span><br><span>We invite you to join us. Why?</span><br><span>When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.</span></p><br> <br><strong>Responsibilities</strong><br><p><span><strong>JOB SUMMARY</strong></span></p><br><p><span>The Data and AI Analyst drives data-informed decision-making and AI adoption across KEO - ensuring strong data foundations, delivering actionable insights, and identifying innovative opportunities to leverage AI technologies within and beyond the Microsoft ecosystem. This is not a traditional reporting role. The ideal candidate is a curious, forward-thinking technologist who combines technical proficiency in Microsoft Fabric, Azure Synapse, Power BI, and AI services with the consultative ability to translate business questions into data solutions - championing KEO's data literacy journey, embedding AI into reporting workflows, and ensuring all data practices meet governance, privacy, and compliance standards.</span></p><br><p><span><strong>KEY TASKS AND RESPONSIBILITIES</strong></span></p><br><p><span><strong>Data Foundations &amp; Data Quality Management</strong></span></p><br><ul><li><span>AI success is only possible with strong data foundations. This pillar is non-negotiable.</span></li><li><span>Design, build, and maintain robust relational data models that support accurate, consistent, and trustworthy reporting across KEO business units.</span></li><li><span>Design, build, and maintain robust relational data models, applying strong SQL skills and transformation logic to extract, cleanse, and integrate data from multiple source systems including Autodesk Construction Cloud, ERP, HRIS, and project management platforms. </span></li><li><span>Define and enforce data quality standards - implementing validation rules, profiling routines, and a central data dictionary covering field definitions, lineage, and transformation rules to ensure all AI inputs are accurate, transparent, and auditable. </span></li><li><span>Manage data integration workflows and ETL/ELT pipeline concepts, working with the Cloud Infrastructure team to ensure data flows are reliable and fault tolerant.</span></li></ul><p><span><strong>AI Literacy, Enablement &amp; Innovation Scouting</strong></span></p><br><ul><li><span>Curiosity and innovation mindset are the #1 differentiators of this role. The analyst must be an AI enabler, not just a report builder.</span></li><li><span>Demonstrate deep conceptual understanding of generative AI, predictive analytics, machine learning, and automation AI - continuously exploring and evaluating emerging tools and platforms beyond the Microsoft ecosystem based on fit-for-purpose, cost, privacy, and scalability. </span></li><li><span>Proactively experiment with new AI capabilities through structured proof-of-concept approaches, monitoring the global AI landscape to identify technologies with high potential value for KEO's AEC context. </span></li><li><span>Provide the CIO and Enterprise Digital Solutions Manager with regular AI landscape briefings, tool evaluations, and strategic recommendations grounded in responsible AI principles.</span></li></ul><p><span><strong>Microsoft Copilot &amp; AI Productivity Expertise</strong></span></p><br><ul><li><span>Design and refine effective prompting strategies and reusable prompt libraries for Microsoft Copilot across Microsoft 365, identifying high-value workflow candidates for AI augmentation using Copilot, Power Automate, and Azure AI Services. </span></li><li><span>Deliver Copilot adoption training and enablement sessions, measuring and reporting on productivity impact - tracking adoption metrics, time savings, and business outcomes to demonstrate ROI. </span></li><li><span>Collaborate with the Digital Workplace and Digital Knowledge Analyst teams to embed Copilot capabilities into employee experience, service delivery, and KEO's SharePoint and Viva knowledge content.</span></li></ul><p><span><strong>Analytics, Business Intelligence &amp; Data Storytelling</strong></span></p><br><ul><li><span>Design, build, and maintain interactive Power BI dashboards and self-service reports using scalable DAX and Power Query data models, delivering real-time, decision-ready insights to KEO leadership and operational teams. </span></li><li><span>Build meaningful data stories that translate findings into business language, conducting proactive analysis to surface trends, anomalies, and forward-looking insights beyond reactive reporting. </span></li><li><span>Maintain a centralized BI catalogue and facilitate data literacy workshops to build confidence among business users in consuming and acting on data.</span></li></ul><p><span><strong>AI Use-Case Development &amp; Proof-of-Concept Delivery</strong></span></p><br><ul><li><span>Systematically identify and prioritize high-value AI opportunities across KEO business units - assessing feasibility, data readiness, and expected ROI across use cases including project risk prediction, resource forecasting, cost variance analysis, document intelligence, and automated reporting. </span></li><li><span>Design and build lightweight AI proof-of-concept solutions using Microsoft Fabric AI, Azure OpenAI, or Azure Machine Learning, presenting results to the Enterprise Digital Solutions Manager and CIO in clear, business-focused language. </span></li><li><span>Track business value delivered by implemented AI solutions and work with software developers to scale successful POCs into production, providing clear requirements, data specifications, and evaluation criteria.</span></li></ul><p><span><strong>Data Governance, Privacy &amp; Responsible AI</strong></span></p><br><ul><li><span>Own and maintain KEO's data governance framework - covering data classification, ownership, retention, access controls, and quality standards - implementing Microsoft Purview or equivalent tooling to manage data lineage, compliance, and discoverability. </span></li><li><span>Apply responsible AI principles across all initiatives, ensuring transparency, fairness, accountability, and privacy are embedded from the outset, and work with the Cybersecurity &amp; Digital Trust Analyst to ensure all data assets are classified, RBAC-protected, and auditable. </span></li></ul><p><span><strong>Automation Mindset &amp; Workflow Optimization</strong></span></p><br><ul><li><span>Proactively identify manual, repetitive processes across KEO as strong candidates for automation using Power Automate, Copilot Studio, Logic Apps, or other low-code platforms, supporting the design and deployment of automation solutions in collaboration with the Digital Workplace team and software developers.</span></li><li><span>Document automation opportunities with clear business cases covering time saved, error reduction, and productivity gains, evaluating ROI of implemented solutions and continuously improving based on user feedback.</span></li></ul> <br><strong>Qualifications</strong><br><ul><li><span>Typically, 8-10+ years in a data analyst, business intelligence, or data &amp; AI role</span></li><li><span>Advanced Power BI (DAX and Power Query) hands-on, not introductory</span></li><li><span>Strong SQL and relational database knowledge</span></li><li><span>Data modelling and data quality management experience</span></li><li><span>Data pipeline and ETL/ELT concepts (working knowledge)</span></li><li><span>Experience with Microsoft AI tools - Copilot, Azure AI Services, or Azure OpenAI</span></li><li><span>Translating business requirements into data or AI solutions</span></li><li><span>Microsoft Fabric, Azure Synapse Analytics, or Azure Machine Learning </span></li><li><span>Evaluating and recommending AI tools across multiple vendors </span></li><li><span>Microsoft Purview for data cataloguing and compliance </span></li><li><span>Autodesk Construction Cloud, Primavera, Oracle, or SAP data integration </span></li><li><span>Designing AI proofs-of-concept and presenting business cases to senior leadership</span></li><li><span>Experience in the AEC (Architecture, Engineering, and Construction) or professional services sector is advantageous.</span></li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>UNICEF is seeking a highly skilled Senior Data and Systems Management Consultant to oversee and optimize its data management processes and technological infrastructure. This comprehensive role is crucial for ensuring efficient data operations and safeguarding UNICEF's systems against potential threats. The purpose of assignments are:</p> <ul> <li>Enhance system security by implementing new measures and protocols to protect against potential threats and unauthorized access.</li> <li>Ensure the accuracy and integrity of data through auditing and cleansing processes</li> <li>Provide support on payment process and system integration with Artificial Intelligence</li> <li>Provide support in tracking and monitoring performance issues to optimize system performance and ensure smooth operations, addressing any infrastructure-related challenges that may arise.</li> </ul> <p><strong>Education:</strong></p> <ul> <li>Master's degree in Computer Science, Information Technology, Engineering, or a related field</li> </ul> <p><strong>Work Experience:</strong></p> <ul> <li>Minimum of 10 years of progressively responsible professional experience in data management, systems administration and security, networking, application development, and Azure cloud computing platforms is required.</li> <li>A minimum of 3 years of that experience must be within non-governmental organizations (NGOs).</li> <li>Additionally, at least 3 years of hands-on practical experience with Microsoft Azure services (virtual machines, storage, networking, security, application gateways, and hybrid connectivity) is required.</li> </ul> <p><strong>Knowledge/Expertise/Skills:</strong></p> <ul> <li>Data Management: Deep understanding of database management, data governance principles, auditing, and data privacy regulations.</li> <li>Systems Administration &amp; Cloud: Advanced proficiency in Linux and Windows server administration, networking, and system performance optimization, including Microsoft Azure services.</li> <li>Application Development: Proven experience in full-lifecycle application development, UI design, and implementing robust application security.</li> <li>Cybersecurity: Strong track record of implementing comprehensive security measures, access controls, and compliance standards across systems and applications.</li> <li>Problem-Solving: Excellent analytical and troubleshooting skills to identify and resolve complex technical issues across data pipelines and server infrastructure.</li> <li>Communication: Strong project management and collaboration skills, with the ability to communicate technical concepts to non-technical stakeholders and lead cross-functional initiatives.</li> </ul> <p><strong>Language Requirements:</strong></p> <ul> <li>English/ Arabic</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Minimum requirements: (Years of Experience/ Knowledge/Expertise/Skills)</strong></p> <p><strong>Education:</strong></p> <ul> <li>Master's degree in Computer Science, Information Technology, Engineering, or a related field</li> </ul> <p><strong>Work Experience:</strong></p> <ul> <li>Minimum of 10 years of progressively responsible professional experience in data management, systems administration and security, networking, application development, and Azure cloud computing platforms is required.</li> <li>A minimum of 3 years of that experience must be within non-governmental organizations (NGOs).</li> <li>Additionally, at least 3 years of hands-on practical experience with Microsoft Azure services (virtual machines, storage, networking, security, application gateways, and hybrid connectivity) is required.</li> </ul> <p><strong>Knowledge/Expertise/Skills:</strong></p> <ul> <li>Data Management: Deep understanding of database management, data governance principles, auditing, and data privacy regulations.</li> <li>Systems Administration &amp; Cloud: Advanced proficiency in Linux and Windows server administration, networking, and system performance optimization, including Microsoft Azure services.</li> <li>Application Development: Proven experience in full-lifecycle application development, UI design, and implementing robust application security.</li> <li>Cybersecurity: Strong track record of implementing comprehensive security measures, access controls, and compliance standards across systems and applications.</li> <li>Problem-Solving: Excellent analytical and troubleshooting skills to identify and resolve complex technical issues across data pipelines and server infrastructure.</li> <li>Communication: Strong project management and collaboration skills, with the ability to communicate technical concepts to non-technical stakeholders and lead cross-functional initiatives.</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<p><strong>The Ministry of Digital Economy and Entrepreneurship</strong></p> <p>&nbsp;</p> <p><strong>Terms of Reference: Personal Data Protection Director</strong></p> <p><strong>Youth, Technology, and Jobs Project</strong></p> <p><strong>About the Ministry of Digital Economy and Entrepreneurship</strong></p> <p>&nbsp;</p> <p>The Ministry of Digital Economy and Entrepreneurship (MoDEE) leads Jordan’s national efforts to shape and implement policies and strategies that advance the digital economy, accelerate digital transformation, strengthen the innovation and entrepreneurship ecosystem, and enhance citizen-centric digital government services.</p> <p>Through strategic partnerships and coordination with public and private stakeholders, MoDEE plays a pivotal role in fostering inclusive economic growth and supporting the adoption of digital opportunities. These efforts contribute to positioning Jordan as a regional and global leader in the digital economy.</p> <p><strong>About the Youth, Technology, and Jobs Project</strong></p> <p>The Youth, Technology, and Jobs (YTJ) Project, launched in 2020, builds on Jordan’s competitive advantage in the Information and Communication Technology (ICT) sector. Through a combination of incentive packages, strategic partnerships, and capacity-building programs, YTJ aims to support a competitive and highly skilled ICT sector and workforce capable of meeting the needs of regional and global markets.</p> <p>Implemented by MoDEE and funded by the World Bank Group, the project seeks to support and expand digitally enabled income opportunities in Jordan.</p> <p><strong>The Personal Data Protection Directorate</strong></p> <p>In alignment with the Economic Modernization Vision (EMV) and MoDEE’s mandate to lead national digital transformation and strengthen governance of the digital economy, and pursuant to the Personal Data Protection Law (PDPL) No. (24) Of 2023, MoDEE established the Personal Data Protection Directorate.</p> <p>The directorate serves as the body responsible for providing strategic leadership, regulatory guidance, and oversight across both public and private sectors to ensure compliance with the law. Its mandate includes promoting lawful and responsible personal data processing, monitoring compliance, and contributing to the development of a robust personal data protection ecosystem aligned with national priorities, international standards, and the EMV objectives.</p> <p><strong>Reporting Line:</strong> Reports to the Executive Director of Strategies, Future, and Entrepreneurship.</p> <p>&nbsp;</p> <ol > <li><strong>Roles and Responsibilities </strong></li> </ol> <p>Provide executive leadership and strategic direction to implement the directorate’s mandate and ensure the effective delivery of regulatory guidance, compliance oversight, and awareness initiatives that strengthen data protection governance and promote consistent compliance across public and private sectors.</p> <ul> <li>Oversee the overall operations of the directorate, including planning, coordination, and performance management, to ensure coherent and integrated delivery.</li> </ul> <ul> <li>Lead the development, implementation, and continuous enhancement of regulatory frameworks, policies, procedures, strategies, instructions, and guidelines to ensure effective national compliance with the Personal Data Protection Law.</li> </ul> <ul> <li>Establish and maintain a robust compliance monitoring and oversight framework, including risk-based supervision, audits, investigations, and corrective actions, while upholding impartiality, transparency, and accountability.</li> </ul> <ul> <li>Guide and coordinate stakeholder engagement and capacity-building initiatives across public and private sectors to promote awareness, institutional readiness, and adherence to the PDP law.</li> <li>Collaborate with international experts, regulatory counterparts, and specialized institutions to strengthen understanding of global data protection practices and support the development of informed regulatory guidance and compliance practices.</li> </ul> <ul> <li>Provide credible and authoritative leadership in data protection governance to ensure alignment of the directorate’s mandate and work plan with national digital transformation objectives and the Economic Modernization Vision (EMV).</li> </ul> <ul> <li>Serve as the primary liaison between the directorate and the PDP Council, ensuring timely and structured reporting on deliverables and compliance status, and supporting the implementation of the Council’s decisions and priorities.</li> </ul> <ul> <li>Provide expert advice and consultation to the PDP Council on regulatory frameworks, policies, and strategies related to data protection, including guidance on managing violations and misuse of personal data.</li> </ul> <ul> <li>Engage the directorate in forums, summits, panels, and conferences to promote data protection principles and privacy-by-design across policies, systems, and digital services.</li> </ul> <ul> <li>Ensure sound internal governance, effective resource management, and institutional development, including strengthening team capabilities and competencies, and fostering a culture of integrity and professionalism.</li> </ul> <p><strong>Sections under the Directorate</strong></p> <ul> <li>Regulatory Affairs and Compliance Section</li> <li>Awareness and Education Section</li> <li>Licensing, Permits, and Records Section</li> <li>Customer Service Section</li> </ul> <p>&nbsp;</p> <ol > <li value="2"><strong>Eligibility and Minimum Qualifications </strong></li> </ol> <ul> <li>Minimum of 10 years of relevant experience in data protection, data privacy, data governance, or personal data compliance, or regulatory and governance functions in the public or private sector ,</li> <li>Including at least 4&nbsp;years in senior leadership roles, or equivalent experience demonstrating increasing levels of responsibility.</li> <li>Experience supporting the establishment or strengthening of data protection frameworks, compliance programs, and monitoring mechanisms.</li> <li>Demonstrated ability to lead multidisciplinary teams and manage diverse stakeholder networks, across government entities, private sector actors, and international organizations.</li> <li>Experience in PDPL and GDPR is highly desirable.</li> <li>Strong strategic leadership with the ability to translate vision and operational plans into measurable outcomes.</li> </ul> <ul> <li>Deep knowledge of data protection principles and standards, including international frameworks and emerging privacy trends.</li> </ul> <ul> <li>Strong understanding of regulatory and compliance mechanisms, including risk-based oversight, audit, and compliance methodologies.</li> </ul> <ul> <li>Excellent presentation and communication skills, with the ability to interact effectively with senior officials, regulators, industry leaders, and civil society.</li> </ul> <ul> <li>High analytical and decision-making capability, with sound judgment in complex legal and regulatory contexts.</li> </ul> <ul> <li>Strong organizational and change management skills, with the ability to lead institutional development and strengthen internal capabilities.</li> </ul> <ul> <li>Excellent command of both Arabic and English.</li> </ul> <p >&nbsp;</p> <ol > <li value="3"><strong>Education Requirements</strong></li> </ol> <ul> <li>Bachelor’s degree in Engineering (Electrical, Computer, Industrial, or any related fields), Computer Science, Information Security, Information Technology, Law, Public Policy, or a closely related field.</li> </ul> <ul> <li>A master’s degree in Law, Data Protection, Information Security, Public Policy, or Governance is desirable.</li> <li>Professional certification in data protection, data privacy, or information security (e.g., CIPP/E, GDPR – DPO, CIPM, ISO 27001, and ISO 27701) is highly desirable.</li> </ul> <p >&nbsp;</p> <ol > <li value="4"><strong>Duration of Assignment </strong></li> </ol> <p>The contract duration is until the end of the YTJ project, with the possibility of renewal subject to satisfactory performance and extension of the project.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The role holder will need to communicate with past and present Plan grantees to ask questions about the status of their businesses and the outcomes of the grants received by Plan. This involves a relatively minimal degree of representation of Plan. This exercise is being conducted for internal purposes primarily and outcomes might be communicated by relevant staff in Plan to external stakeholders. The role holder will only communicate with grantees though.</p> <p><b>Accountabilities</b></p> <ul> <li>Conduct data collection using the instruments trained on.</li> <li>Apply quality and ethical standards trained on while doing data collection.</li> <li>Provide regular verbal debriefs to line manager and share any feedback/challenges in the field.</li> <li>Receive feedback and guidance as appropriate.</li> </ul> <p><b>Key relationships</b></p> <p>The role holder will interact with past and present Plan grantees. They will be working closely with the MERL team in the PMU who will be providing oversight and guidance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The purpose of the role is to develop the existing capacity of young people in the sector on remote data collection in the area of economic development, specifically entrepreneurship and business success, using a structured survey as an instrument. At the same time, the role will satisfy data collection needs the PMU currently have and will continue to have over several weeks. Following a thorough one-day training, the role holder will perform data collection with Plan past and present grantees over the phone.</p> <p><b>Essential</b></p> <ul> <li>6-12 months of experience in data collection using surveys/questionnaires over the phone.</li> <li>Very good Arabic communication skills.</li> <li>College degree.</li> <li>Ability and will to learn.</li> <li>Ability to be present in Plan offices at least one day a week every week.</li> </ul> <p><b>Desirable</b></p> <ul> <li>Previous experience of collecting data from grantees specifically.</li> <li>Previous experience working with Plan International and knowledge of its entrepreneurship program.</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>You contribute to UNICEF s mission of promoting the rights of every child, everywhere, by supporting programmes, advocacy, and operations grounded in equity. By focusing on the most disadvantaged and excluded children and families, you help translate children s rights into meaningful action, ensuring that every child has an equal opportunity to survive, develop, and reach their full potential.</p> <p>You play a key role in using the power of evidence to drive results for children. By generating, analyzing, and sharing high-quality data, you ensure that the right information reaches the right people at the right time, enabling informed decision-making and stronger programme impact. Your work directly supports the achievement of the Sustainable Development Goals and aligns with UNICEF s Strategic Plan 2PHONE_NUMBER.</p> <p>In the MENA region, you strengthen evidence generation and data systems by contributing to evaluation, data collection, and analysis efforts, often in collaboration with partners. You support the development of robust national monitoring frameworks, improve the availability of disaggregated data, and help advance innovative approaches such as predictive analytics and frontier data use. Through these efforts, you enable more effective policies and programmes, ensuring better outcomes for children across diverse and complex contexts.</p> <p>Under the supervision of the Regional Chief of Programme and Planning, the incumbent will also contribute to the strengthening of statistical and strategic analytical evidence on childhood issues in MENA countries, to the generation of data, analysis and public knowledge on child rights, wellbeing and poverty, to monitoring and assessing progress in achieving SDGs for children, and to strengthening the capacity of UNICEF COs, national governments, and regional partners in MENA to produce and use quality data and analyses on child rights related issues. The incumbent will also contribute to child-focused foresight and predictive analytics considering external factors (such as demographic, geopolitical, socio-economic) as well as insights on potential implications for programmes and policies in the region.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Education:</strong> Master or equivalent (Advanced University Degree) in Social Science,Statistics,International Development, Demography and any other related fields.</p> <p><strong>Work Experience:</strong> At least 8 years of relevant work experience in Innovation, Monitoring and Evaluation, Development, Research, Research, Planning, Monitoring and Evaluation, Analytical research experience, MICS survey, Innovative monitoring knowledge, Development exposure, Emergency exposure. and any other related fields.</p> <p><strong>Skills :</strong> Strong data analysis and survey methodology are considered valuable assets.</p> <p><strong>Language Requirements:</strong> Fluency in English, written and communication skills. Knowledge of Arabic and/or French highly desirable.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a talented <strong>Specialist, Data &amp; Systems Assurance </strong>to join us. At Hikma you ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</p> <p>If you want to be part of a team that cares about impact, this is the place for you.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Lead on the Group s assurance over finance relevant IT/ISs from ITGC and configuration perspectives; including performing risk assessments, scoping, testing processes and controls effectiveness in line with internal policies and external regulation</li> <li>Prepare assurance reports upon conclusion of testing and provide regular updates to management.</li> <li>Interpreting the financial audit impact of IT risks and control weaknesses and Integrating Data Analytics testing into an assurance approach</li> <li>Perform and review follow-up testing on prior internal audit and IC&amp;A findings</li> <li>Lead the mitigation of SOD risks across the group through a GRC tool</li> <li>Assist with design of ITGCs and responding to design related queries</li> <li>Partner with stakeholders, business management, other control groups (i.e. risk management, compliance, IT GRC), external auditors, and regulators, establishing strong working relationships while maintaining independence</li> <li>Lead validation of newly implemented systems</li> <li>Assist the team s utilization of AI, process mining and data analytics tools to aid IC&amp;A assurance and governance objectives</li> <li>Assist management and colleagues with various IC&amp;A tasks</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum: </p> <ul> <li>Bachelor s degree in computer science, Management information systems, accounting information systems or other closely related field</li> <li>Professional qualification is required: Certified Information Systems Auditor (CISA)</li> </ul> <p>Preferred:</p> <ul> <li>Advanced Degree/professional qualification in a business field (e.g. MBA, CPA, Masters etc) </li> <li>Further studies (Masters) in an IT field</li> <li>Data Analytics certification</li> </ul> <p><strong>Experience</strong></p> <p>Minimum: </p> <ul> <li>4 or more years of IT and information system assurance over SAP and/or SAGE</li> <li>Developing high quality efficient data driven audit strategies to address audit risk in the most effective way</li> <li>Utilizing data analytics visualization to create interactive Dashboards for identifying and assessing risks at planning stage of assurance engagement/to aid sample selection to present findings.</li> <li>ITGC testing and advising mitigation of SOD risks through utilization of GRC tools</li> <li>Familiarity with continuous control monitoring</li> </ul> <p>Preferred:</p> <ul> <li>Familiarity with internal controls/ICFR as well as IFRS/IAS/GAAP</li> <li>Familiarity with Sarbanes Oxley regulation (SOX) </li> <li>Providing assurance through re-performance using data analytics (Databricks, SQL, Python, VBA, R). Any other programming language will be beneficial</li> <li>Working in a big four firm; as part of FAIT/IT assurance function.</li> <li>Familiarity with COBIT/COSO/ISO</li> <li>Experience working with (as a client) or for (as a team member) of large listed companies (US &amp; UK)</li> </ul> <p><strong>Skills </strong></p> <ul> <li>Technically astute in information systems/ Information technology assurance</li> <li>Preparing working papers to a high standard</li> <li>Excellent communication skills, reporting to management </li> <li>Familiarity with SAP/SAGE</li> <li>Tenacity and Ethics</li> <li>Data analytics/ Data mining/ Continuous control monitoring</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your resume in English and indicate your level of English.<br> At Toloka, we connect smart, </span></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>JOB TITLE:</b> Programme Associate Data Analysis TYPE OF CONTRACT/LEVEL: Fixed term / G6 UNIT/DIVISION: Programme DUTY STATION (City, Country): Amman, Jordan DURATION: 12 Months (renewable) BACKGROUND AND PURPOSE OF THE APPOINTMENT: Assisting over 100 million people in around 83 countries each year, the World Food Programme (WFP) is the leading humanitarian organization delivering food assistance in emergencies and working with local communities to improve nutrition and build resilience. To be effective in this mandate WFP must ensure that it reaches the right people and that it manages its relationship with those individuals and their communities in a responsible, accountable, and effective manner. In 2012 WFP launched its largest humanitarian response operation to address the food needs of Syrian refugees in Jordan. Since then, WFP has been providing food assistance to vulnerable groups on monthly basis to secure a stable access to food and stabilize their food security. Currently, WFP supports 85,000 refugees living in camps with monthly cash assistance. Livelihood programmes are also supported with cash-based transfers on an ad-hoc basis. WFP is seeking to recruit a Programme Associate (Data Analysis) to support data driven assurance and oversight for Cash Based Transfers (CBT). The Associate will serve as the focal point for data analysis related to identity management (IDM) and CBT assurance, supporting reconciliation, anomaly detection, verification exercises, and reporting. The role will contribute to strengthening programme controls, data quality, and evidence based decision making, and will work closely with CBT operational team and relevant stakeholders. The Associate will report to the National Officer for Cash Based Transfers. ACCOUNTABILITIES/RESPONSIBILITIES: Analyse IDM and CBT data to generate insights supporting assurance, controls, and operational decision making. Contribute to monthly CBT assurance outputs by performing data reconciliation, anomaly detection, verification, and required analyses. Write and maintain SQL queries and scripts to extract, reconcile, and validate data from corporate tools and country office systems. Perform routine data quality checks to ensure accuracy, completeness, and consistency of CBT datasets and reports. Prepare monthly datasets and reporting outputs in line with corporate data governance and CBT requirements. Under the guidance of the supervisor, act as a focal point for IDM and CBT assurance analysis and related reporting. Support data availability and system transitions through dataset migration, testing, and coordination with HQ. Develop and maintain dashboards and visualizations to support operational and management monitoring. Perform other related duties as required. QUALIFICATIONS &amp; EXPERIENCE REQUIRED: Education: Completion of secondary school education. A post-secondary certificate in the related functional area. University degree is desirable. Experience: Minimum 6 years of experience, composed of a minimum of 5 years in the field of the position and 1 year in any other field but preferably in the field of the position or related. Knowledge &amp; Skills: SQL and tableau knowledge. Experience building visualizations. Problem-solving and client-oriented attitude. Languages: Fluency in both oral and written communication in English &amp; Arabic. WFP LEADERSHIP FRAMEWORK WFP Leadership Framework guides to the common standards of behavior that guide HOW we work together to accomplish our mission. Click here to access WFP Leadership Framework REASONABLE ACCOMMODATION WFP is committed to supporting individuals with disabilities by providing reasonable accommodations throughout the recruitment process. If you require a reasonable accommodation, please contact: EMAIL_ADDRESS NO FEE DISCLAIMER The United Nations does not charge any application, processing, training, interviewing, testing or other fee in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it. Furthermore, please note that emblems, logos, names and addresses are easily copied and reproduced. Therefore, you are advised to apply particular care when submitting personal information on the web. REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION All applications must be submitted exclusively through our online recruiting system. We do not consider CVs or applications sent by email, LinkedIn, or any other channel. We strongly recommend that your Workday profile is accurate and complete, and that all sections are filled in, including your employment history, academic qualifications, language skills, and UN grade (if applicable). Once your profile is completed, please apply, and submit your application. If you experience technical issues while submitting your application, you may contact us at EMAIL_ADDRESS . Please note that this email is only for technical issues with an application - unsolicited applications or documents sent to this inbox will not receive a reply . At the application stage, the only required documents are your CV and Cover Letter. Additional documents (passport, certificates, recommendation letters, etc.) may be requested later in the process. Only shortlisted candidates will be contacted and invited to proceed to the next stage of the recruitment process. All employment decisions are made on the basis of organizational needs, job requirements, merit, and individual qualifications. WFP is committed to providing an inclusive work environment free of sexual exploitation and abuse, all forms of discrimination, any kind of harassment, sexual harassment, and abuse of authority. Therefore, all selected candidates will undergo rigorous reference and background checks. No appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ), International Civil Service Commission (ICSC), FAO Finance Committee, WFP External Auditor, WFP Audit Committee, Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP, both during their service and within three years of ceasing that service.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Completion of secondary school education. A post-secondary certificate in the related functional area. University degree is desirable.</p><p>Minimum 6 years of experience, composed of a minimum of 5 years in the field of the position and 1 year in any other field but preferably in the field of the position or related.</p><p>SQL and tableau knowledge. Experience building visualizations. Problem-solving and client-oriented attitude.</p><p>Fluency in both oral and written communication in English &amp; Arabic.</p><p></p></section>