data scientist Jobs in The Division Of Social Science Data Science Dr Bedoor Alshebli Jobs In Arabic Jobs In Abu Dhabi United Arab Emirates

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azure data engineer - Jobs in The Division Of Social Science Data Science Dr Bedoor Alshebli Jobs In Arabic Jobs In Abu Dhabi United Arab Emirates

azure data engineer -

data architect Jobs in The Division Of Social Science Data Science Dr Bedoor Alshebli Jobs In Arabic Jobs In Abu Dhabi United Arab Emirates

data architect

data quality engineer Jobs in The Division Of Social Science Data Science Dr Bedoor Alshebli Jobs In Arabic Jobs In Abu Dhabi United Arab Emirates

data quality engineer

lead data and bi engineer Jobs in The Division Of Social Science Data Science Dr Bedoor Alshebli Jobs In Arabic Jobs In Abu Dhabi United Arab Emirates

lead data and bi engineer

data engineer

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for Data Engineers to build the pipelines that power our analytics. You will be responsible for the extraction, transformation, and loading (ETL) of data, creating the reliable infrastructure needed for data science and business intelligence.Responsibilities<ul><li>Design, build, and maintain robust ETL/ELT pipelines to move data from various sources to centralized data warehouses/lakes.</li><li>Optimize data ingestion processes for performance, scalability, and reliability.</li><li>Develop complex SQL queries and scripts (Python/Scala) to transform raw data into usable formats.</li><li>Collaborate with Data Architects to implement data models and schemas effectively.</li><li>Monitor and troubleshoot data pipeline failures, ensuring high data availability for users.</li><li>Implement data partitioning and indexing strategies to optimize query performance.</li><li>Ensure data security and compliance during data transfer and storage.</li></ul>Requirements<ul><li>2&ndash;8 years of experience</li><li>Strong programming skills in Python, Scala, or Java.</li><li>Expert-level proficiency in SQL and experience with ETL tools (e.g., Azure Data Factory, Informatica, Talend).</li><li>Experience with big data technologies (Spark, Hadoop, Databricks).</li><li>Understanding of cloud data platforms (Azure Synapse, Snowflake).</li></ul>Bonus<ul><li>Azure Data Engineer Associate certification.</li><li>Experience with streaming data (Kafka, Event Hubs).</li><li>Knowledge of CI/CD for data pipelines.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED18,000.00 per month

Data Engineer

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
 
 
 
 Responsibilities of the role:
 
 
 
 <ul>
 <li>
 Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.
 </li>
 <li>
 Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.
 </li>
 <li>
 Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).
 </li>
 <li>
 Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.
 </li>
 <li>
 Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.
 </li>
 <li>
 Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.
 </li>
 <li>
 Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).
 </li>
 <li>
 Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).
 </li>
 <li>
 Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
 </li>
 <li>
 Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.
 </li>
 <li>
 Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).
 </li>
 <li>
 Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.
 </li>
 <li>
 Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).
 </li>
 <li>
 Experience with production monitoring tools to detect data drift or model decay.
 </li>
 <li>
 Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.
 </li>
 <li>
 Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary and performance bonuses
 </li>
 <li>
 Comprehensive health insurance
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 Flexible working arrangements
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
</div>

Mind Stream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer -

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a Data Quality Engineer to ensure the accuracy and integrity of our critical data assets. You will implement frameworks and automated checks to detect issues, ensuring that business decisions are based on trusted information.Responsibilities<ul><li>Design and implement data quality frameworks and standards across the organization.</li><li>Perform data profiling to identify anomalies, patterns, and quality issues within large datasets.</li><li>Develop and deploy automated data quality rules and checks within data pipelines.</li><li>Collaborate with data owners and stewards to perform root cause analysis on data errors and drive remediation.</li><li>Monitor data quality metrics and generate regular reports for stakeholders.</li><li>Validate data migration and integration processes to ensure data fidelity is maintained.</li><li>Promote a culture of data quality awareness across technical and business teams.</li></ul>Requirements<ul><li>Minimum 3 &ndash; 7 years of experience</li><li>Strong SQL skills for data querying and profiling.</li><li>Experience with data quality tools (e.g., Informatica IDQ, Talend Data Quality, Great Expectations).</li><li>Analytical mindset with strong problem-solving abilities.</li><li>Understanding of data governance concepts and data lifecycle management.</li></ul>Bonus<ul><li>Experience establishing Data Quality SLAs.</li><li>Knowledge of dashboarding tools (PowerBI) to visualize data quality metrics.</li><li>Background in audit or compliance roles related to data.</li></ul>Job Type: Full-timePay: AED13,000.00 - AED17,000.00 per month

Data Quality Engineer

Job location: Doha, QatarJob description:Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>Have you implemented selective deployment for ADF pipelines?</li><li>What is your current and expected salary?</li><li>What is your notice period or earliest joining availability?</li></ul>

Azure DevOps (Data) Engineer -

Miral Experiences

<div>
 
 
 Join Us at Miral Experiences
 
 
 
 At
 
 Miral Experiences
 
 , we don&rsquo;t just create jobs &mdash; we create
 
 extraordinary moments
 
 . As part of the visionary
 
 Miral Group
 
 , we bring to life some of the world&rsquo;s most iconic attractions, including
 
 Ferrari World Abu Dhabi
 
 ,
 
 Warner Bros. World Abu Dhabi
 
 ,
 
 Yas Waterworld
 
 , and
 
 SeaWorld Yas Island
 
 .
 
 
 We are passionate about delivering
 
 unforgettable guest experiences
 
 and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
 
 
 If you're looking to be part of something bigger &mdash; where your work directly contributes to
 
 memorable experiences for millions
 
 &mdash; then
 
 Miral Experiences is the place for you
 
 .
 
 
 
 
 
 Are you passionate about building scalable data systems and ensuring data quality across platforms? Join our growing Data Engineering team as a
 
 Senior Data Operations Engineer
 
 and help us shape the future of data infrastructure and analytics.
 
 
 
 
 
 🔧
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and maintain robust ETL/ELT pipelines for efficient data flow.
 </li>
 <li>
 Monitor and troubleshoot data systems for performance and reliability.
 </li>
 <li>
 Lead incident and problem management, ensuring SLA compliance.
 </li>
 <li>
 Automate data processing and reporting workflows.
 </li>
 <li>
 Collaborate with Data Engineers, Scientists, BI, and DevOps teams.
 </li>
 <li>
 Document processes and communicate with business and IT stakeholders.
 </li>
 </ul>
 
 
 
 
 ✅
 
 What You Bring
 
 
 <ul>
 <li>
 
 4+ years
 
 in Data Engineering or Data Operations.
 </li>
 <li>
 Strong SQL skills and experience with relational databases.
 </li>
 <li>
 Hands-on with cloud platforms (Google Cloud, Azure, Microsoft Fabric).
 </li>
 <li>
 Proficient in ETL tools and orchestration frameworks (Airflow, Prefect, etc.).
 </li>
 <li>
 Familiar with big data tools (Hadoop, Spark) and programming (Python, Java, Scala).
 </li>
 <li>
 DevOps knowledge (CI/CD, Docker, Kubernetes) is a plus.
 </li>
 <li>
 Bonus: Experience with MLOps, Kafka, and data governance.
 </li>
 </ul>
 
 
 
 
 🎓
 
 Education
 
 
 
 Bachelor&rsquo;s in Computer Science, Engineering, or related field (Master&rsquo;s is a plus).
 
 
 
 
 
 
 Ready to Make an Impact?
 
 
 
 If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &mdash; we&rsquo;d love to hear from you.
 
 Apply now
 
 and take the next step in your career with
 
 Miral Experiences
 
 &mdash; where your work helps shape unforgettable moments every day.
 
</div>

Senior Data Operations Engineer

Visionary Tech Services LLC

<div>The Lead Data and BI Engineer makes trusted, timely data and insight delivery for AI. Reporting to the Head of AI and Data Engineering, this role owns the end&#8209;to&#8209;end data and BI stack from ingestion and transformation to semantic layers, metrics, and dashboards and line&#8209;manages Associate and Senior Data Engineers and BI Engineers to ship secure, governed, and reusable data products at scale.
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s in CS, Software Engineering, Data Engineering, or related.</li>
<li>8+ years across data engineering and BI engineering with ownership of production data platforms, pipelines, and analytics delivery.</li>
<li>Deep hands&#8209;on with batch and streaming patterns(ELT/ETL, CDC, event streams), orchestration (such as Azure Data Factory, Databricks, and Airflow), and Lakehouse stacks (such as Delta/Snowflake/BigQuery) on Azure/AWS/GCP.</li>
<li>Proven experience with semantic models and metrics layers (dbt + semantic layer, MetricFlow, or equivalent),dimensional modeling, and KPI frameworks powering BI tools (such as Power BI/Tableau).</li>
<li>Strong data governance and quality practices: lineage, cataloging, PII handling, access controls, testing and observability (such as Great Expectations/Open Lineage/Data Hub), cost and performance optimization.</li>
<li>API design and data product mindset: well&#8209;defined interfaces, contracts, SLAs, and reusable components; experience enabling self&#8209;serve analytics and domain data ownership.</li>
<li>Leadership: line management, hiring, coaching, code and model review, operating standards, and cross&#8209;functional delivery with AI, Product, Security, and Platform teams.</li>
<li>Nice to have: real&#8209;time analytics, metric stores, headless BI, dbt Semantic Layer, Microsoft Fabric; familiarity with RAI/privacy controls for AI and analytics.</li>
<li>Strategy and ownership</li>
<li>Own the data and BI architecture and roadmap across ingestion, transformation, semantic layers, and presentation.</li>
<li>Define standards for modeling, testing, observability, CI/CD, and access controls; ensure reuse and documentation.</li>
<li>Data engineering</li>
<li>Lead design and delivery of scalable ELT/ETL, CDC, and streaming pipelines; implement data contracts and SLAs.</li>
<li>Optimize reliability, performance, and cost on cloud data platforms; enforce data quality gates and lineage.</li>
<li>BI engineering and semantic modeling</li>
<li>Establish conformed dimensions and governed metrics; implement a semantic layer and metric definitions used across BI tools.</li>
<li>Lead build of analytics datasets and dashboards for exec and operational use; standardize KPI frameworks and reporting rhythms.</li>
<li>Governance and security</li>
<li>Embed governance-by-design: cataloging, lineage, RBAC/ABAC, PII handling, and audit trails; partner with Security and RAI.</li>
<li>Set data validation, testing, and monitoring policies; act on data incidents with clear runbooks.</li>
<li>Collaboration and enablement</li>
<li>Partner with AI/ML Engineering to supply reliable features and serve model outputs back into the warehouse/lake house.</li>
<li>Enable self&#8209;serve analytics with curated data products, documentation, and training for analysts and business teams.</li>
<li>Leadership and people</li>
<li>Line&#8209;manage Associate and Senior Data Engineers and BI Engineers: coach, set goals, review designs and code, and grow capabilities.</li>
<li>Drive continuous improvement in developer experience, pipeline reliability, and time&#8209;to&#8209;insight via templates and reference implementations.</li>
<li>Builds reliable data, analytics and BI data products that business teams trust for decisions. Standardizes models, metrics, and pipelines to improve performance, governance, and time&#8209;to&#8209;insight.</li></ul></div>

Lead Data and BI Engineer

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