وظائف مدخل بيانات في الأردن

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you are looking for. Webook is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p> <h4>Key responsibilities:</h4> <ul> <li>Analyze and mine business data to identify patterns and correlations among the various data points.</li> <li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li> <li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li> <li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate, calculate, and format into useful presentations.</li> <li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.</li> <li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li> <li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li> <li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li> <li>Support innovations by actively keeping technical and professional business knowledge current on emerging technology and data trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li> </ul> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Management Information Systems, or a related field.</p> <p>Minimum of 4 years experience.</p> <p>Overall experience in information systems; background experience in ETL processes, application development, report development, and data warehouse projects.</p> <h4>Skills:</h4> <ul> <li>Proficient in English written and verbal communication skills.</li> <li>Demonstrates excellent judgment and decision-making skills.</li> <li>Demonstrated time management and priority setting skills.</li> <li>Excellent organizational skills.</li> <li>Possesses strong product knowledge.</li> <li>Possesses strong technical aptitude.</li> </ul></p><p></p>

<p>As a GTM Data Engineer at Aspire, you will build the data infrastructure and intelligence layer that powers Indeed's Go-To-Market revenue engine u2014 including lead routing, advertiser identity resolution, campaign segmentation, and Sales tooling across Salesforce, Snowflake, and GCP. You will build and maintain data pipelines, model GTM data assets, and collaborate with engineers and product managers to deliver on project deliverables. This role requires a strong focus on data quality, validation, and schema management across GTM data marts. This position is open to candidates in LATAM with core working hours of 9 a.m. u2013 5 p.m. CT (US Central time).</p><p>What You'll Do</p><ul><li>Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.</li><li>Model and maintain GTM data assets, including parent company, advertiser identity, lead enrichment, and revenue data.</li><li>Collaborate with engineers and Product Managers on GTMDR JIRA project deliverables.</li><li>Write and optimize SQL/IQL queries for reporting and analytics use cases.</li><li>Support data quality, validation, and schema management across GTM data marts.</li></ul><p>What You'll Need</p><ul><li>Strong SQL and Snowflake experience (required).</li><li>Strong Python scripting skills for data transformation.</li><li>Experience building ETL/ELT pipelines using dbt, Airflow, or similar orchestration tools.</li><li>Experience with GCP or AWS cloud data platforms.</li><li>Familiarity with CRM data (leads, contacts, accounts, opportunities).</li><li>Ability to work during US Central time (CDT/CST) core hours (9 a.m. u2013 5 p.m. CT).</li><li>Experience with Salesforce SOQL.</li><li>Experience with ZoomInfo or D&amp;B data enrichment.</li><li>Experience with GTM or revenue analytics.</li><li>Experience with Salesforce Data Cloud or Salesforce data models (preferred).</li></ul><p>Why Aspire</p><p>In addition to a competitive long-term total compensation package with salary and performance-based bonus, we have a reward philosophy that goes beyond compensation. Be part of a remote-first organization where flexibility is embraced. Work and learn alongside talented engineers and technology leaders. Explore opportunities to learn and grow through technical and non-technical training programs. Gain global exposure by working on products with international teams and clients. Attend virtual and in-person international technology conferences to expand your knowledge and network.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong SQL and Snowflake experience (required).</li><li>Strong Python scripting skills for data transformation.</li><li>Experience building ETL/ELT pipelines using dbt, Airflow, or similar orchestration tools.</li><li>Experience with GCP or AWS cloud data platforms.</li><li>Familiarity with CRM data (leads, contacts, accounts, opportunities).</li><li>Ability to work during US Central time (CDT/CST) core hours (9 a.m. u2013 5 p.m. CT).</li><li>Experience with Salesforce SOQL.</li><li>Experience with ZoomInfo or D&amp;B data enrichment.</li><li>Experience with GTM or revenue analytics.</li><li>Experience with Salesforce Data Cloud or Salesforce data models (preferred).</li></ul>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p> <h4>Responsibilities</h4> <ul> <li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li> <li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li> <li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li> <li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li> <li>Oversee analysis of high-volume financial and transactional datasets</li> <li>Design and review executive dashboards and management reports</li> <li>Ensure data accuracy, consistency, and alignment with business logic</li> <li>Support audits, compliance, and regulatory data requests</li> <li>Mentor and guide analysts and enforce best practices</li> <li>Contribute to data governance, quality standards, and documentation</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li> <li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li> <li>Expert-level SQL skills (Oracle preferred)</li> <li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li> <li>Experience working with large transactional datasets</li> <li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li> <li>Ability to translate data into executive-level insights</li> </ul> <h4>Preferred Skills</h4> <ul> <li>Experience with core banking or digital wallet systems</li> <li>Knowledge of revenue assurance, fraud, and risk analytics</li> <li>Exposure to ETL pipelines and data modeling</li> <li>Experience contributing to data monetization initiatives</li> <li>Strong leadership and ownership mindset</li> <li>Excellent communication and stakeholder management skills</li> <li>Ability to challenge existing processes using data</li> <li>Comfortable presenting to senior management and executives</li> <li>High attention to detail and accountability</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p> <h4>Responsibilities</h4> <ul> <li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li> <li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li> <li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li> <li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li> <li>Oversee analysis of high-volume financial and transactional datasets</li> <li>Design and review executive dashboards and management reports</li> <li>Ensure data accuracy, consistency, and alignment with business logic</li> <li>Support audits, compliance, and regulatory data requests</li> <li>Mentor and guide analysts and enforce best practices</li> <li>Contribute to data governance, quality standards, and documentation</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li> <li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li> <li>Expert-level SQL skills (Oracle preferred)</li> <li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li> <li>Experience working with large transactional datasets</li> <li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li> <li>Ability to translate data into executive-level insights</li> </ul> <h4>Preferred Skills</h4> <ul> <li>Experience with core banking or digital wallet systems</li> <li>Knowledge of revenue assurance, fraud, and risk analytics</li> <li>Exposure to ETL pipelines and data modeling</li> <li>Experience contributing to data monetization initiatives</li> <li>Strong leadership and ownership mindset</li> <li>Excellent communication and stakeholder management skills</li> <li>Ability to challenge existing processes using data</li> <li>Comfortable presenting to senior management and executives</li> <li>High attention to detail and accountability</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Lead enterprise Data Privacy and Personal Data Protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.<br> Key Responsibilities Develop enterprise Data Privacy Framework.<br> Create Privacy Policies and Procedures.<br> Conduct Privacy Impact Assessments (PIA).<br> Perform Data Protection Impact Assessments (DPIA).<br> Design Privacy by Design controls.<br> Define Personal Data Classification standards.<br> Develop Consent Management processes.<br> Establish Data Subject Rights procedures.<br> Implement Data Retention and Deletion policies.<br> Support Data Breach Management processes.<br> Conduct Privacy Risk Assessments.<br> Map personal data processing activities.<br> Ensure compliance with applicable privacy regulations.<br> Deliver awareness sessions and stakeholder workshops.<br> Support privacy audits and assessments.<br> Technical Skills Personal Data Protection regulations Privacy Risk Assessment DPIA / PIA Privacy by Design Data Classification Data Masking Data Anonymization Data Encryption fundamentals Identity &amp; Access Management concepts Records Management Information Security fundamentals Privacy compliance tools Experience 7 to 10 years in Data Privacy, Information Security, Governance, Risk &amp; Compliance, or related fields.<br> Experience implementing enterprise privacy programs.<br> Experience with regulatory compliance projects.<br> Preferred Certifications CIPP/E CIPP/A CIPM CIPT ISO 27701 Lead Implementer ISO 27001 Lead Implementer</span> </div>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you are looking for. Webook is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p> <h4>Key responsibilities:</h4> <ul> <li>Analyze and mine business data to identify patterns and correlations among the various data points.</li> <li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li> <li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li> <li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate, calculate, and format into useful presentations.</li> <li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.</li> <li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li> <li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li> <li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li> <li>Support innovations by actively keeping technical and professional business knowledge current on emerging technology and data trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li> </ul> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Management Information Systems, or a related field.</p> <p>Minimum of 4 years experience.</p> <p>Overall experience in information systems; background experience in ETL processes, application development, report development, and data warehouse projects.</p> <h4>Skills:</h4> <ul> <li>Proficient in English written and verbal communication skills.</li> <li>Demonstrates excellent judgment and decision-making skills.</li> <li>Demonstrated time management and priority setting skills.</li> <li>Excellent organizational skills.</li> <li>Possesses strong product knowledge.</li> <li>Possesses strong technical aptitude.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a passionate and skilled Backend Engineer specializing in Data Modelling to join our dynamic team in Amman, Jordan. This role is pivotal in shaping the data architecture that fuels our innovative solutions. As a Backend Engineer, you will be responsible for designing and implementing robust data models that ensure efficient data storage, retrieval, and processing. Your contributions will directly impact our capacity to deliver high-quality services to our clients, making this an exciting opportunity to advance your career in a fast-paced environment.</p><p>At our company, we believe in fostering a culture of continuous learning and professional growth. As you immerse yourself in our collaborative environment, you will have access to various training programs and mentorship opportunities that will enhance your technical skills and broaden your understanding of data engineering practices. We value innovation and encourage our team members to share their ideas, driving not only personal growth but also the overall success of the organization.</p><p>Joining our team means becoming part of a forward-thinking company that prioritizes both individual and collective success. As you contribute to critical projects, you will have the chance to work alongside talented professionals who are equally passionate about technology and data. We are committed to providing a supportive work environment that empowers you to take on new challenges and advance your career trajectory while making a meaningful impact in the tech landscape.</p><p><b>Responsibilities:</b></p><ol><li>Design and develop data models that support application requirements, ensuring data integrity and optimal performance through the use of industry-standard tools and methodologies.</li><li>Collaborate with cross-functional teams to gather data requirements and translate them into effective database structures, enhancing the overall data architecture.</li><li>Implement data migration strategies that facilitate seamless transitions from legacy systems to modern databases, minimizing downtime and ensuring data consistency.</li><li>Conduct performance tuning and optimization of existing database queries, utilizing profiling tools to identify bottlenecks and improve response times.</li><li>Develop comprehensive documentation for data models and processes to ensure clarity and consistency for current and future team members.</li><li>Monitor and maintain database security protocols, implementing best practices to safeguard sensitive information and comply with industry regulations.</li><li>Participate in code reviews and provide constructive feedback to peers, fostering a culture of collaboration and continuous improvement within the engineering team.</li><li>Stay updated with the latest trends and technologies in data engineering, actively seeking opportunities to integrate new tools and methodologies into our processes.</li><li>Assist in troubleshooting and resolving database-related issues, leveraging your expertise to ensure minimal disruption to business operations.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in SQL and NoSQL databases, enabling efficient data storage and retrieval tailored to specific application needs.</li><li>Strong understanding of data modeling techniques, ensuring effective representation of data relationships and structures.</li><li>Experience with data warehousing solutions, facilitating the integration and analysis of large datasets.</li><li>Familiarity with ETL processes, enabling seamless data extraction, transformation, and loading for analytics.</li><li>Knowledge of cloud-based database services, enhancing scalability and accessibility of data solutions.</li><li>Ability to implement database security measures, ensuring compliance with data protection regulations.</li><li>Excellent problem-solving skills, allowing for quick and effective resolution of database performance issues.</li></ul></div>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who are we?<br> We are a team of driven individuals who strongly believe in the positive impact gaming and AI will have on the learning world.<br> Today, we’re helping enterprise businesses transition from video to gamified learning experiences that far outperform their traditional counterparts.<br> If you strive to work in a creative and high-output environment, read on.<br> Who are we looking for?<br> A senior data engineer to own Pixaera's data end to end: the pipelines that bring data in, the warehouse and transformations that shape it, and the customer-facing dashboards and insights we build on top.<br> Our customers judge the value of their training by what they can see, so this role owns that surface directly.<br> Today the stack is Fivetran into Snowflake, transformed with dbt and surfaced through Omni.<br> You will take real ownership of it, fix what is brittle, and turn it into a genuine product surface rather than a side project.<br> You are happy working across the backend to solve data problems at their source, and you can explain a trade-off to a customer success lead as clearly as to an engineer.<br> What you will own Customer-facing dashboards and reporting: the activity, completion and performance views customers rely on, built on the current data model (courses and completions, not legacy sessions) and kept correct as new content ships.<br> The data platform end to end: ingestion (Fivetran), the warehouse and data lake (Snowflake) and the transformation layer (dbt), including the modelling that harmonises sources and versions data properly.<br> Turning raw learning and assessment data into insights that customers and internal teams can act on, and moving us toward live and near-real-time reporting.<br> Reliability and cost: monitored, well-behaved pipelines, sensible incremental versus full-refresh models, and a real handle on data spend.<br> Data products beyond dashboards: APIs, reports and exports, and the content mappings that keep reporting accurate, owned inside the publish pipeline rather than as manual handoffs.<br> The data layer in product design: partnering with backend and frontend engineers so new features integrate with data cleanly from the start, and raising the bar for data practice across engineering.<br> How do we support and benefit our employees: Competitive salary and stock options — everyone shares in what we're building 25 days holiday + public holidays Fully equipped setup from day one (no waiting for laptops) Regular company offsites and team socials A flat, transparent culture with direct access to leadership At Pixaera, we're committed to building a workplace where everyone feels respected, supported, and empowered to thrive.<br> We believe that diverse perspectives fuel creativity and innovation, which is why we celebrate individuality and foster an environment of inclusion and belonging.<br> We're proud to be an equal opportunity employer — discrimination of any kind has no place here.<br> No matter your background, identity, or lived experience, you're welcome at Pixaera.<br> Skills / Experiences Core Significant professional experience as a Data Engineer , senior enough to own a platform and its customer-facing outputs on your own.<br> Proven ability to independently master new concepts and technologies.<br> Strong skills in analysing business processes and modelling data for reporting.<br> Proven ability to communicate complex technical concepts and trade-offs to non-technical audiences.<br> Excellent written and spoken English.<br> Self-motivated, independent and proactive; able to thrive in a fully remote environment.<br> AI-native: fluent with agentic coding tools such as Claude Code on real deliverables, and keen to build AI and agentic steps into data pipelines and tooling.<br> Data tech Strong proficiency in writing Python and SQL.<br> Strong grounding in data structures, algorithms, and system design.<br> Proficiency with data warehousing tools like Snowflake and data transformation tools like dbt.<br> Comfortable modelling and delivering customer-facing dashboards in a BI tool such as Omni , Looker, Metabase or similar.<br> General tech Solid software engineering practices: testing, code review, CI/CD.<br> Experience deploying data solutions to production environments .<br> Experience with performance optimization and cost control in data pipelines.<br> Experience with one or more public clouds (like AWS, Google Cloud, Azure).<br> Nice to Have Experience with Omni specifically, or migrating between BI tools.<br> Backend fluency (Golang, NodeJS, Postgres) to fix data issues at their source.<br> Setting up and prototyping solutions using AWS; Kubernetes.<br> Experience working at or with education and/or assessment solutions.<br></span> </div>

<p><h4>Description</h4> <p>We are seeking a Data Protection & DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed. 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.</p> <h4>Key responsibilities:</h4> <ul> <li>Translate data classification into practical controls — defining what data is sensitive and how it must be protected.</li> <li>Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.</li> <li>Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.</li> <li>Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.</li> <li>Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.</li> <li>Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.</li> <li>Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.</li> </ul> <h4>Requirements</h4> <ul> <li>Arabic speakers</li> <li>6 years of relevant experience in data protection, DLP design, and governance.</li> <li>Strong understanding of data classification frameworks and how to operationalize them into technical controls.</li> <li>Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.</li> <li>Ability to define secure configuration baselines and exception-handling processes.</li> <li>Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.</li> <li>Strong documentation skills for audit evidence, runbooks, and SOPs.</li> <li>Strong communication skills to deliver training and knowledge transfer to internal teams.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking a Data Protection & DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed. 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.</p> <h4>Key responsibilities:</h4> <ul> <li>Translate data classification into practical controls — defining what data is sensitive and how it must be protected.</li> <li>Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.</li> <li>Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.</li> <li>Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.</li> <li>Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.</li> <li>Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.</li> <li>Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.</li> </ul> <h4>Requirements</h4> <ul> <li>Arabic speakers</li> <li>6 years of relevant experience in data protection, DLP design, and governance.</li> <li>Strong understanding of data classification frameworks and how to operationalize them into technical controls.</li> <li>Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.</li> <li>Ability to define secure configuration baselines and exception-handling processes.</li> <li>Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.</li> <li>Strong documentation skills for audit evidence, runbooks, and SOPs.</li> <li>Strong communication skills to deliver training and knowledge transfer to internal teams.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the Role <br> <p><span>We are looking for a fresh graduate to join the Data Analytics &amp; AI Department for a&nbsp;</span><b><span>one-year internship</span></b><span>&nbsp;contract under Zain Youth Program.</span></p><br><p><strong><span>Job tasks and responsibilities:</span></strong></p><br><ol><li><p><span>Support the development, deployment, and monitoring of data pipelines across Cloudera, Apache NiFi, Kafka, Spark, and related platforms.</span></p><br></li><li><p><span>Assist with troubleshooting data-platform issues by analyzing application logs, system metrics, SQL queries, and data-flow dependencies.</span></p><br></li><li><p><span>Develop scripts and utilities using Python, SQL, and Linux shell scripting to automate operational and data-processing tasks.</span></p><br></li><li><p><span>Support data validation, performance optimization, documentation, and controlled deployment of changes across development and production environments.</span></p><br></li><li><p><span>Work with infrastructure, database, security, and business teams to investigate incidents and deliver reliable data solutions.</span></p><br></li></ol> <br> <br><br> What We Need From You <br> <p><span>Bachelor's degree in computer science</span><span>, Data Science, Software Engineering, Computer Engineering, or a related technical field.</span></p><br><p><strong><span>Technical skills:</span></strong></p><br><ol><li><p><span>Good foundation in SQL, relational databases, and data-processing concepts.</span></p><br></li><li><p><span>Working knowledge of Python and Linux command-line environments; shell scripting is an advantage.</span></p><br></li><li><p><span>Basic understanding of data engineering technologies such as Spark, Hadoop, Kafka, NiFi, Airflow, or similar tools.</span></p><br></li><li><p><span>Familiarity with APIs, Git, containerization, Kubernetes, or CI/CD concepts is preferred.</span></p><br></li><li><p><span>Basic understanding of networking, authentication, logging, and systematic application troubleshooting.</span></p><br></li></ol><p><strong><span>Soft skills:</span></strong></p><br><ol><li><p><span>Strong analytical thinking and a structured approach to problem-solving.</span></p><br></li><li><p><span>Curiosity and willingness to independently investigate unfamiliar technologies.</span></p><br></li><li><p><span>Clear communication and the ability to document technical findings accurately.</span></p><br></li><li><p><span>Ownership, reliability, and willingness to follow issues through to resolution.</span></p><br></li><li><p><span>Ability to accept feedback, adapt quickly, and collaborate across different technical teams.</span></p><br></li></ol> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and 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 available tools and 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> Educational qualifications At least 3+ 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> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, 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> Technical Skills (Essential) 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) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving 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 $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></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities:<br>o Gathers and analyzes reporting requirements from key HR stakeholders to design impactful dashboards<br>and KPIs.<br>o Develop interactive and professional dashboards using Power BI, aligned with business needs.<br>o Translates complex HR data into clear insights that support HR team in effective decision-making.<br>o Builds reporting dashboards in areas such as Learning and development, Talent acquisition, Performance<br>management, and Compensation &amp; benefits.<br>o Collaborates with internal HR teams to understand evolving business needs and proactively adjusts<br>reporting approaches.<br>o Ensures accuracy and consistency in HR data visualizations and dashboard updates.<br>o Supports ongoing optimization of HR reporting tools and solutions.<br>o Maintains confidentiality and integrity of employee data in all reporting activities.</p><br><br><ul> <li>Proven experience in Power BI development, in HR or People Analytics.</li> <li>Proficiency in using Excel and PowerPoint tools.</li> <li>Strong analytical and storytelling skills using data.</li> <li>Experience in tracking HR metrics and using data to forecast trends</li> </ul> </div>

<p><h4>Description</h4> <p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p> <p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li> <li>Translate business requirements into scalable data science and machine learning solutions</li> <li>Validate data availability and define analytical approaches for new use cases</li> <li>Build predictive models, machine learning solutions, and GenAI applications</li> <li>Design robust data pipelines and analytical workflows</li> <li>Apply data processing, feature engineering, and statistical modelling techniques</li> <li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li> <li>Present analytical findings and recommendations to technical and executive stakeholders</li> <li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li> <li>Mentor junior team members and support technical delivery across multiple initiatives</li> </ul> <h4>You're our match if you have</h4> <ul> <li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li> <li>5+ years of hands-on experience delivering data science or machine learning solutions</li> <li>Strong Python programming skills and experience with modern data science libraries</li> <li>Experience building predictive models, machine learning solutions, and GenAI applications</li> <li>Strong understanding of statistics, data modelling, and feature engineering</li> <li>Experience designing scalable data pipelines and production-ready AI solutions</li> <li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li> <li>Excellent stakeholder management and communication skills</li> <li>Ability to translate complex technical concepts into business value</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Telecommunications or other customer-centric industries</li> <li>Large-scale customer analytics and segmentation</li> <li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li> <li>Cloud platforms such as Azure, AWS, or Google Cloud</li> <li>Databricks, Spark, or distributed data processing</li> <li>Docker, Kubernetes, or CI/CD pipelines</li> <li>Leading or mentoring technical teams</li> </ul></p><p></p>

<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></span><p><strong><span>Location:</span></strong><span> Amman, Jordan</span></p><br> <p><strong><span>Job Type:</span></strong><span> Full-time</span></p><br> <p><strong><span>Hashtag:</span></strong><span> #LI-AA2</span></p><br> <p><strong><span>About Us :</span></strong></p><br> <p><span>For over 45 years, Hikma Pharmaceuticals has been putting better health within reach, every day, by creating high-quality medicines and making them accessible to those who need them. We are helping to shape a healthier world that enriches all our communities, and our global team of 9,500+ empowered employees are central to this mission. </span></p><br> <p><span>As a trusted and reliable partner of over 800 high-quality generics, specialty and branded pharmaceutical products, we are driven to improve access to medicine. Through our 29 manufacturing plants, 3 R&amp;D hubs across the MENA, North America and Europe, our footprint allows us to play a critical role in serving patients.&nbsp; </span></p><br> <p><strong><span>Description:</span></strong></p><br> <p><span>We are looking for a talented <strong>Sr. Specialist. Data Scientist </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.</span></p><br> <p><span>If you want to be part of a team that cares about impact, this is the place for you.</span></p><br> <p><strong><span>Key Responsibilities:</span></strong></p><br> <ul> <li><span>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</span></li> <li><span>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</span></li> <li><span>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</span></li> <li><span>Design and optimize data pipelines to enable ML model training, validation, and deployment.</span></li> <li><span>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</span></li> <li><span>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</span></li> <li><span>Ensure data quality, governance, and compliance while handling sensitive financial data.</span></li> <li><span>Utilize automation tools such as Selenium to streamline data collection and processing workflows</span></li> </ul> <p><strong><span>Qualifications:</span></strong></p><br> <p><span>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</span></p><br> <ul> <li><span>Minimum: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</span></li> <li><span>Preferred: Master’s degree in Data Science or a related field.</span></li> <li><span>At least 4-7 years’ experience in data science and machine learning.</span></li> <li><span>Experience in a Finance department is plus.</span></li> </ul> <p><strong><span>Skills:</span></strong></p><br> <ul> <li><span>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</span></li> <li><span>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</span></li> <li><span>Hands-on experience with SQL and working with relational databases.</span></li> <li><span>Knowledge of big data processing frameworks such as PySpark.</span></li> <li><span>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</span></li> <li><span>Experience with data visualization tools such as Power BI, Tableau.</span></li> <li><span>Strong problem-solving, analytical, and critical-thinking skills.</span></li> <li><span>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</span></li> <li><span>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</span></li> </ul> <p><strong><span>Learn more about Hikma in Jordan </span></strong><strong><span>hikma-jordan-factsheet-aug-2025-en.pdf</span></strong></p><br> </div>