وظائف مدخل بيانات في الأردن

<p>Data entry clerk needed at Shaab Roasters</p><p>Working hours are 9 hours with a break hour</p><p>Friday off</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A consulting team is being formed for a planned end-of-project evaluation of a labour-intensive maintenance and Cash-for-Work project in Jordan. The evaluation will assess the project s contribution to improving livelihoods, supporting vulnerable Jordanians and Syrian refugees, and improving the learning environment in public schools. The assignment will use a mixed-methods approach, including desk review, phone surveys, key informant interviews, focus group discussions, and limited site visits where possible. The evaluation will cover selected governorates in Jordan and will require strong coordination, careful field supervision, and high-quality data collection. The Data Collection Supervisor will be responsible for coordinating and supervising the data collection process. This includes supporting the preparation of tools, training the data collection team, managing fieldwork logistics, ensuring data quality, and reporting progress to the evaluation management team. The position requires someone who is organized, practical, and able to work closely with enumerators, qualitative researchers, and technical team members. The supervisor should be able to solve field challenges quickly, maintain good communication with the team, and ensure that ethical and quality standards are followed throughout the data collection process. The assignment is expected to take place during the period July to September 2026. The level of effort will be confirmed based on the final evaluation workplan.</p><p><strong>Tasks</strong></p><p>The Data Collection Supervisor will be expected to:</p><ul><li>Support the evaluation team in preparing and finalizing the data collection plan.</li><li>Support the preparation, review, and piloting of quantitative survey tools, KII guides, and FGD guides.</li><li>Support the programming and testing of electronic data collection tools, where needed.</li><li>Coordinate the recruitment, onboarding, and training of enumerators and qualitative researchers.</li><li>Train the data collection team on survey tools, qualitative guides, informed consent, confidentiality, ethical protocols, and data quality procedures.</li><li>Supervise phone surveys with Cash-for-Work beneficiaries.</li><li>Supervise and coordinate key informant interviews and focus group discussions.</li><li>Support the organization of field visits and face-to-face data collection activities where required.</li><li>Manage daily fieldwork logistics, including team deployment, schedules, communication, and follow-up.</li><li>Ensure that the approved sampling strategy is followed, including representation by gender, nationality, location, and vulnerability where relevant.</li><li>Monitor data collection progress against the agreed workplan and sample targets.</li><li>Conduct real-time quality checks on submitted data.</li><li>Identify missing, inconsistent, or low-quality responses and coordinate corrective action.</li><li>Organize spot-checks, back-checks, and verification calls where needed.</li><li>Ensure that all interviews and discussions are conducted respectfully and with informed consent.</li><li>Maintain confidentiality and ensure safe handling of data and field records.</li><li>Keep daily fieldwork notes and submit regular progress updates to the Evaluation Manager.</li><li>Report field challenges, risks, refusals, delays, or quality concerns in a timely manner.</li><li>Support the preparation and delivery of clean field records, attendance sheets, consent documentation, recordings, transcripts, and field notes.</li><li>Coordinate with the Data Analyst to ensure smooth transfer of quantitative and qualitative data for cleaning and analysis.</li><li>Support any other tasks related to data collection and field coordination as requested by the evaluation team.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in social sciences, business, engineering, data management, development studies, statistics, monitoring and evaluation, or another relevant field.</li><li>At least 5 years of experience managing or supervising field data collection operations.</li><li>Proven experience coordinating enumerators, field researchers, or qualitative data collection teams.</li><li>Experience in quantitative surveys, phone surveys, KIIs, and FGDs.</li><li>Experience with electronic data collection tools such as KoboToolbox, SurveyCTO, ODK, or similar platforms.</li><li>Good understanding of data quality control methods, including spot-checks, back-checks, field monitoring, and daily data review.</li><li>Experience working with vulnerable populations, including refugees, women, youth, persons with disabilities, or low-income communities.</li><li>Experience in livelihoods, Cash-for-Work, education, school infrastructure, social protection, refugee response, or humanitarian/development programming is an asset.</li><li>Ability to manage field logistics across different locations.</li><li>Strong team management, communication, and problem-solving skills.</li><li>Good reporting and documentation skills.</li><li>Fluency in Arabic is required.</li><li>Good command of English is an asset.</li><li>Availability during the assignment period, expected between July and September 2026.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span ><b>Description</b></span></div><div><span >AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.</span></div><div><span ><br></span></div><div><span >We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!</span></div><div><span ><br></span></div><div><br></div><div><span ><b>Key job responsibilities</b></span></div><div><span >- Maintain and follow strict confidentiality as customer privacy is our most important tenet.</span></div><div><span >- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video.</span></div><div><span >- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.</span></div><div><span >- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.</span></div><div><span >- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.</span></div><div><span >- Eye for detail and ability to pivot from one category of requirement to another instantaneously.</span></div><div><span >- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team.</span></div><div><span >- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.</span></div><div><span >- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations.</span></div><div><span >- Demonstrate ownership in floor support to clarify internal queries during execution on need basis.</span></div><div><span ><br></span></div><div><span ><b>A day in the life</b></span></div><div><span >We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.</span></div><div><span ><br></span></div><div><span >Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.</span></div><div><span ><br></span></div><div><span ><b>Basic Qualifications</b></span></div><div><span >- Associate's degree or above</span></div><div><span >- Good knowledge in both spoken and written English</span></div><div><span >- Language fluency in written and spoken Arabic</span></div><div><span >- Strong business writing skills with ability to create reports, proposals, and professional correspondence</span></div><div><span >- Advanced reading comprehension with ability to analyze complex business documents</span></div><div><span >- Developed analytical thinking and structured problem-solving capabilities</span></div><div><span >- Strong ability to interpret and implement detailed instructions across various projects</span></div><div><span >- Proficient research skills with experience gathering and synthesizing information from multiple sources</span></div><div><span >- Proven attention to detail in managing complex tasks and documents</span></div><div><span ><br></span></div><div><span ><b>Preferred Qualifications</b></span></div><div><span >- Bachelor's degree in a relevant field</span></div><div><span >- 1+ years of project coordination experience</span></div><div><span >- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</span></div><div><span >- 2+ years of professional work experience with demonstrated task execution ability</span></div><div><span >- Proven capacity to leverage open-source resources effectively for comprehensive research purposes • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy</span></div><div><span >- Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers.</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Associate's degree or above</p><p>Good knowledge in both spoken and written English</p><p>Language fluency in written and spoken Arabic</p><p>Strong business writing skills with ability to create reports, proposals, and professional correspondence</p><p>Adv- Bachelor's degree in a relevant field</p><p>1+ years of project coordination experience</p><p>Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</p><p>2+ years of professional work experience with</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p><p>Responsibilities:</p><p>1. Platform Architecture &amp; Engineering Leadership:</p><ul><li>Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale</li><li>Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it</li><li>Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data</li><li>Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand</li><li>Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required</li><li>Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring</li></ul><p>2. Delivery &amp; Data Products:</p><ul><li>Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions</li><li>Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output</li><li>Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them</li><li>Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness</li><li>Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs</li><li>Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers</li><li>Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability</li></ul><p>3. Data Governance &amp; Quality:</p><ul><li>Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions</li><li>Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths</li><li>Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard</li><li>Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer</li><li>Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design</li><li>Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners</li><li>Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases</li></ul><p>4. Team Leadership &amp; Capability Development:</p><ul><li>Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand</li><li>Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure</li><li>Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline</li><li>Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles</li><li>Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities</li><li>Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline</p><p>Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred</p><p>Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred</p><p>Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles</p><p>Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team</p><p>Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level</p><p>Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment</p><p>Experience with Medallion/lakehouse architecture patterns in production</p><p>Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred</p><p>Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred</p><p>Experience leading a data governance or catalogue implementation, from design through to business adoption</p><p>Life sciences, pharmaceutical, or other regulated industry experience is preferred</p><p>Skills :</p><p>Technical Competencies:</p><ul><li>Data Platform Architecture</li><li>Data Engineering, Pipeline Design &amp; CDC Patterns</li><li>Data Modelling, Transformation &amp; Engineering Standards</li><li>Data Governance, Quality &amp; Catalogue</li><li>Analytics &amp; BI Delivery</li><li>MLOps &amp; ML Platform Foundations</li><li>Delivery Management &amp; Agile Methods</li></ul><p>Platform &amp; Technical Skills:</p><ul><li>Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps</li><li>Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow</li><li>Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar)</li><li>Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale</li><li>CI/CD for data pipelines, practical implementation at production scale</li><li>Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows</li><li>Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub</li></ul><p>Leadership &amp; Business Skills:</p><ul><li>Credible with both technical teams and senior business stakeholders</li><li>Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically</li><li>Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap</li><li>Strong written and verbal communication in English; Arabic proficiency valued</li><li>Cultural intelligence for working effectively across MENA, US, and Europe</li></ul><p></p></section>

<p><h4>Description</h4> <p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p> <h4>Key responsibilities</h4> <ul> <li>Lead enterprise data management and data governance initiatives.</li> <li>Develop data governance frameworks, policies, standards, and procedures.</li> <li>Define data ownership, stewardship, and accountability models.</li> <li>Establish data quality frameworks, KPIs, and monitoring processes.</li> <li>Design metadata management and business glossary structures.</li> <li>Develop master data management (MDM) strategies.</li> <li>Support data catalog implementation and governance.</li> <li>Define data lifecycle management processes.</li> <li>Develop data classification and data retention policies.</li> <li>Assess current-state data maturity and recommend improvements.</li> <li>Conduct data governance workshops with business stakeholders.</li> <li>Support implementation of governance tools and platforms.</li> <li>Ensure compliance with local and international regulations.</li> <li>Prepare executive reports, dashboards, and governance metrics.</li> <li>Mentor data management specialists.</li> </ul> <h4>Requirements</h4> <ul> <li>Enterprise data governance</li> <li>Data quality management</li> <li>Metadata management</li> <li>Master data management (MDM)</li> <li>Data catalog solutions</li> <li>Data lineage</li> <li>Data architecture concepts</li> <li>Data lifecycle management</li> <li>Data modeling fundamentals</li> <li>SQL knowledge</li> <li>BI concepts</li> <li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data management or data governance.</li> <li>Minimum 3 years leading enterprise data governance initiatives.</li> <li>Experience delivering consulting engagements.</li> </ul> <h4>Preferred certifications</h4> <ul> <li>DCAM</li> <li>CDMP</li> <li>DAMA</li> <li>Collibra certification</li> <li>Microsoft Purview certification</li> <li>Informatica certification</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Lead the design and implementation of enterprise Data Management frameworks, governance models, policies, standards, and operating procedures.<br> The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.<br> Key Responsibilities Lead enterprise Data Management and Data Governance initiatives.<br> Develop Data Governance Frameworks, Policies, Standards, and Procedures.<br> Define data ownership, stewardship, and accountability models.<br> Establish Data Quality frameworks, KPIs, and monitoring processes.<br> Design Metadata Management and Business Glossary structures.<br> Develop Master Data Management (MDM) strategies.<br> Support Data Catalog implementation and governance.<br> Define Data Lifecycle Management processes.<br> Develop Data Classification and Data Retention policies.<br> Assess current-state data maturity and recommend improvements.<br> Conduct data governance workshops with business stakeholders.<br> Support implementation of governance tools and platforms.<br> Ensure compliance with local and international regulations.<br> Prepare executive reports, dashboards, and governance metrics.<br> Mentor Data Management Specialists.<br> Enterprise Data Governance Data Quality Management Metadata Management Master Data Management (MDM) Data Catalog Solutions Data Lineage Data Architecture concepts Data Lifecycle Management Data Modeling fundamentals SQL knowledge BI concepts Data Governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent) Experience 7 to 10 years in Data Management or Data Governance.<br> Minimum 3 years leading enterprise data governance initiatives.<br> Experience delivering consulting engagements.<br> Preferred Certifications DCAM CDMP DAMA Collibra Certification Microsoft Purview Certification Informatica Certification</span> </div>

<p><h4>Description</h4> <p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p> <h4>Key responsibilities</h4> <ul> <li>Lead enterprise data management and data governance initiatives.</li> <li>Develop data governance frameworks, policies, standards, and procedures.</li> <li>Define data ownership, stewardship, and accountability models.</li> <li>Establish data quality frameworks, KPIs, and monitoring processes.</li> <li>Design metadata management and business glossary structures.</li> <li>Develop master data management (MDM) strategies.</li> <li>Support data catalog implementation and governance.</li> <li>Define data lifecycle management processes.</li> <li>Develop data classification and data retention policies.</li> <li>Assess current-state data maturity and recommend improvements.</li> <li>Conduct data governance workshops with business stakeholders.</li> <li>Support implementation of governance tools and platforms.</li> <li>Ensure compliance with local and international regulations.</li> <li>Prepare executive reports, dashboards, and governance metrics.</li> <li>Mentor data management specialists.</li> </ul> <h4>Requirements</h4> <ul> <li>Enterprise data governance</li> <li>Data quality management</li> <li>Metadata management</li> <li>Master data management (MDM)</li> <li>Data catalog solutions</li> <li>Data lineage</li> <li>Data architecture concepts</li> <li>Data lifecycle management</li> <li>Data modeling fundamentals</li> <li>SQL knowledge</li> <li>BI concepts</li> <li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data management or data governance.</li> <li>Minimum 3 years leading enterprise data governance initiatives.</li> <li>Experience delivering consulting engagements.</li> </ul> <h4>Preferred certifications</h4> <ul> <li>DCAM</li> <li>CDMP</li> <li>DAMA</li> <li>Collibra certification</li> <li>Microsoft Purview certification</li> <li>Informatica certification</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.<br> Responsibilities: Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : Project management capabilities • Business case development • Programming languages like SQL, Python, R • Analytics and business intelligence tools like Microsoft Power BI • Data modelling • Version control</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>Jordan Kuwait Bank is seeking&nbsp;<strong>Data Governance Officers</strong> to join our Data Management team. You will play a key role in implementing data quality frameworks, managing metadata and business glossaries, establishing governance policies, and ensuring data accuracy, compliance, and accessibility across the organization.</p><br> <p><strong>What We're Looking For:</strong></p><br> <p><strong>Experience:</strong> ✔ 1-2 years in data management, data governance, data quality, metadata management, business intelligence, data analytics, or related fields</p><br> <p><strong>Skills &amp; Knowledge:</strong> ✔ Good understanding of data management and data governance principles</p><br> <ul> <li>Knowledge of DAMA-DMBOK concepts and best practices</li> <li>Understanding of data quality dimensions, profiling, validation and issue management</li> <li>Familiarity with metadata management, business glossary, data catalog, and data lineage concepts</li> <li>Understanding of critical data elements and data ownership/stewardship</li> <li>Knowledge of data governance frameworks, policies, standards and controls</li> <li>Basic understanding of data privacy, data classification, and regulatory requirements</li> <li>Experience working with business and technical stakeholders</li> <li>Strong analytical, communication and problem-solving skills</li> <li>Experience with data governance or metadata tools is an advantage</li> </ul> <p><strong>Preferred Qualifications:</strong> Bachelor's degree in Computer Science, Information Systems, Data Science, Business Information Systems, or related field , Professional certifications such as DAMA CDMP, Data Governance or Data Management certification are a plus<br><strong>We are an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, national origin, or disability status, and we work together to promote a safe and healthy working environment.</strong>&nbsp;</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Key Responsibilities:</p><ul><li><strong>Data Integration and ETL Development</strong>: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform. Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows to improve performance and scalability.</li><li><strong>Data Infrastructure and Platform Management</strong>: Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements. Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li><li><strong>Data Governance and Metadata Management</strong>: Collaborate with the data governance team to establish data policies, standards, and procedures. Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability. Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>5-6 years of experience as a Data Engineer or a related role in a data-driven organization. Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services. Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb). Expertise in data modeling, data quality management, and metadata management. Proficient in programming languages such as Python, or Java, and experience with SQL. Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices. Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</p><p>Preferred Qualifications:</p><ul><li>Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li><li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li><li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li></ul><p>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Join BlackStone eIT as a Data Engineering lead a talented team of data professionals in our mission to harness the power of data for impactful decision-making.<br> In this role, you will oversee the design, development, and enhancement of our data infrastructure, ensuring it aligns with the company's strategic goals.<br> You will also collaborate closely with various departments to identify data needs and implement effective data management solutions.<br> As a Data Engineering Manager, you will be instrumental in driving best practices in data engineering and fostering a culture of innovation within your team.<br> Responsibilities Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth Design and implement scalable data solutions to meet business needs Collaborate with cross-functional teams to identify and prioritize data initiatives Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility Implement policies and procedures for data governance, security, and compliance Monitor and optimize data performance, reliability, and efficiency Stay abreast of industry trends and advancements in data engineering methodologies Facilitate clear communication of data strategy and project updates to stakeholders Bachelor's or Master's degree in Computer Science, Data Science, or a related field At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark) Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously Strong leadership skills with demonstrated experience in building and mentoring high-performing teams Excellent analytical and problem-solving abilities Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders Knowledge of data governance and compliance standard</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Optimiza is a regional systems integrator and digital transformation consultancy delivering consulting, business, and technology solutions across multiple industries.<br> Our work helps organizations strengthen how they manage data, risk, and operational change in complex environments where governance and accountability matter.<br> As a Senior Data Governance Analyst, you will play a key role in advancing enterprise data governance practices that support regulatory expectations, improve data quality, and enable better business decision-making.<br> This role is suited to someone who can work across business and control functions, bring structure to complex data challenges, and help build sustainable governance processes that scale across the organization.<br> Responsibilities Develop, implement, and maintain data governance policies, standards, and procedures aligned with regulatory requirements including BCBS 239, GDPR, CCPA, SOX, GLBA, and FFIEC.<br> Lead and support data classification efforts, ensuring appropriate handling of PII, MNPI, and other sensitive or regulated data categories.<br> Maintain and enhance the enterprise data catalog, business glossary, and data lineage documentation to support regulatory reporting and risk management.<br> Partner with data owners and data stewards across business lines to define data quality rules, monitor metrics, and drive remediation of data quality issues.<br> Support Critical Data Element (CDE) identification and monitor controls around CDEs used in regulatory and financial reporting.<br> Conduct data governance maturity assessments and gap analyses, and recommend and track remediation plans.<br> Collaborate with Compliance, Risk, Legal, and Internal Audit teams to support regulatory exams, audits, and data-related risk assessments.<br> Design and monitor access control and data entitlement processes in partnership with Information Security.<br> Facilitate data governance council and working group meetings, and prepare governance reporting and metrics for senior management and committees.<br> Support metadata management initiatives and ensure consistent, enterprise-wide data definitions.<br> Track issues through the data issue management lifecycle, including root cause analysis and escalation of unresolved risks.<br> Contribute to training and awareness programs to embed a data governance culture across the organization.<br> Class A Health Insurance Required Qualifications Bachelor's degree in Data Management, Information Systems, Finance, Business, or a related field.<br> 5+ years of experience in data governance, data management, or data quality, including 2+ years in financial services or another regulated industry.<br> Working knowledge of financial services data regulations and frameworks, including BCBS 239, GDPR, CCPA, SOX, GLBA, and FFIEC guidelines.<br> Hands-on experience with data governance or data catalog platforms such as Collibra, Informatica Axon/EDC, Alation, or similar tools.<br> Experience with data quality frameworks, metadata management, and data lineage concepts.<br> Experience with data classification and sensitive data handling, including PII, MNPI, and confidential data.<br> Experience working across business, risk, compliance, and technology teams, with confidence presenting to senior stakeholders.<br> Eligibility to work in Jordan.<br> Preferred Qualifications Master's degree in Data Management, Information Systems, Finance, Business, or a related field.<br> Proficiency in SQL, with familiarity with data modeling concepts.<br> Experience supporting regulatory exams or audits such as OCC, Fed, FDIC, or equivalent regional regulators.<br> Familiarity with data privacy regulations and privacy-by-design principles.<br> Understanding of the governance implications of cloud data platforms such as Snowflake, AWS, or Azure.<br> CDMP, DGSP, or a similar data governance certification.<br> Please be prepared to share your notice period or earliest available start date.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <b>About the Job </b> <br> <p > At Aspire, we're looking for a passionate and experienced <span>Data Engineer <span> <span> to join our growing technology team. In this role, you'll design, build, and optimize scalable data platforms that power analytics, reporting, and business-critical decision-making. You'll collaborate with cross-functional teams to develop reliable, high-performance data solutions while leveraging modern cloud technologies and data engineering best practices. <span> <br> <span> <span>What You'll Do <span> <span> <br> </span></span></span></span></span></span></span></span></p><ul > <li > <p> <span> <span>Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Build and optimize batch and real-time data processing workflows. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Design and implement robust data models, data warehouses, and data lakes. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Integrate data from multiple sources, including APIs, databases, cloud services, and third-party applications. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Ensure data quality, consistency, integrity, and security across the organization's data platforms. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Optimize the performance of data pipelines, SQL queries, and large-scale data processing systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Collaborate with Analytics, Business Intelligence, and Data Science teams to deliver trusted datasets for reporting and insights. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Work closely with Software Engineering and DevOps teams to build reliable and scalable data infrastructure. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Implement monitoring, logging, and alerting to ensure data pipeline reliability and operational excellence. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Participate in designing and evolving the organization's data architecture and engineering standards. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Mentor junior data engineers by sharing technical knowledge and promoting engineering best practices. <span> <br> </span></span></span></p></li><li > <p > Document data flows, architecture, and technical implementations to support knowledge sharing and maintainability. <span > <br> <span> <span>What You'll Need <span> <span> <br> </span></span></span></span></span></p><ul > <li > <p > Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. <br> </p></li><li > <p> <span> <span>5+ years of experience in Data Engineering or a similar role. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong expertise in SQL and relational databases such as Oracle, PostgreSQL, SQL Server, and MySQL. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Hands-on experience with Apache Airflow, Apache Kafka, Apache Spark, or similar data engineering technologies. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong programming skills in Python, Java, or Scala. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with cloud data warehouse solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong understanding of ETL/ELT processes, data modeling, and data integration best practices. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience working with large-scale distributed data systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience using Git or other version control systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong analytical, problem-solving, and communication skills. <br> </span></span></p></li><li > <p> <span> <span>Experience with real-time streaming technologies such as Kafka, Flink, or Spark Streaming is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Knowledge of modern data lake platforms, including Delta Lake and Databricks is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with Docker and Kubernetes <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Experience implementing CI/CD pipelines for data engineering workflows <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Understanding of data governance, security, privacy, and compliance practices <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p > <span> <span>Experience working in Agile or Scrum environments.<br> </span></span></p><div ><br></div></li></ul></li></ul></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At Syarah , we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make.<br> We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.<br> This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business —proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.<br> You will design and govern Syarah’s end-to-end data platform on GCP , unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.<br> You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.<br> Key Responsibilities Lead and mentor a cross-functional data team (engineering, analytics, data science) Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform) Design scalable ETL pipelines and unified star schema data models Integrate ERPNext and other operational systems into centralized data architecture Build and deploy containerized services using Docker on Cloud Run Develop and maintain Flask REST APIs for secure data sharing Own data DevOps , including CI/CD pipelines and infrastructure management Orchestrate workflows using Apache Airflow Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake Ensure reliable event tracking, identity resolution, and funnel analytics across platforms Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking Deliver proactive insights: identify trends, anomalies, and risks before they are requested Translate data into executive-level business decisions and recommendations Define KPI frameworks and build trusted data products for finance, operations, and product teams Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation 7+ years of experience in data engineering, analytics, or data platform roles Proven experience in a data leadership or senior technical role Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform) Advanced proficiency in Python and SQL Solid experience building and scaling data pipelines and ETL architectures Experience with API development (Flask or similar frameworks) Hands-on experience with Airflow or other workflow orchestration tools Strong knowledge of product analytics and mobile attribution tools (e.<br>g., Mixpanel, Adjust) Experience working with ERP systems (ERPNext or similar) is a plus Strong understanding of data modeling, KPI frameworks, and business intelligence Experience in building or leading data teams Strong business acumen with ability to translate data into actionable insights Experience with CI/CD, Docker, and cloud infrastructure management Exposure to AI/ML tools or LLM-based automation is a strong plus Excellent communication skills and ability to work closely with executive leadership</span> </div>

<p><h4>Description</h4> <p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key Responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >Key Responsibilities</span></p><ul><li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li><li>Architect and manage Syarah s data platform on GCP (BigQuery, Cloud Run, Dataform)</li><li>Design scalable ETL pipelines and unified star schema data models</li><li>Integrate ERPNext and other operational systems into centralized data architecture</li><li>Build and deploy containerized services using Docker on Cloud Run</li><li>Develop and maintain Flask REST APIs for secure data sharing</li><li>Own data DevOps , including CI/CD pipelines and infrastructure management</li><li>Orchestrate workflows using Apache Airflow</li><li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li><li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li><li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li><li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li><li>Translate data into executive-level business decisions and recommendations</li><li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li><li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li><li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>7+ years of experience in data engineering, analytics, or data platform roles</li><li>Proven experience in a data leadership or senior technical role</li><li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li><li>Advanced proficiency in Python and SQL</li><li>Solid experience building and scaling data pipelines and ETL architectures</li><li>Experience with API development (Flask or similar frameworks)</li><li>Hands-on experience with Airflow or other workflow orchestration tools</li><li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li><li>Experience working with ERP systems (ERPNext or similar) is a plus</li><li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li><li>Experience in building or leading data teams</li><li>Strong business acumen with ability to translate data into actionable insights</li><li>Experience with CI/CD, Docker, and cloud infrastructure management</li><li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li><li>Excellent communication skills and ability to work closely with executive leadership</li></ul><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 skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI-driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>5+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API (Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services (S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul><p></p></section>