ai engineer

planning engineer

project engineer

backend engineer

data architect

database engineer

HTC Global Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the Role:
  <br/>
  <br/>
 </strong>
 We are seeking a Data Engineer (Innovation) with 6+ years of experience to design, develop and maintain data pipelines to support AI initiatives.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with data scientists to understand requirements and ensure data availability and quality.
  </li>
  <li>
   Implement data processing and transformation logic to prepare data for analysis and modelling.
  </li>
  <li>
   Monitor and optimize data pipelines for performance, scalability, and reliability.
  </li>
  <li>
   Stay abreast of the latest advancements in data engineering technologies and best practices.
  </li>
  <li>
   Contribute to low-level architecture/technical design aligned to the high-level solution and business
  </li>
  <li>
   requirements
  </li>
  <li>
   Work within the agile development team to analyse and decompose stories into tasks for simpler
  </li>
  <li>
   implementation
  </li>
  <li>
   Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
  </li>
  <li>
   Responsible for the end-to-end quality of your own deliverables
  </li>
  <li>
   Communicate clearly and effectively with team members throughout all the implementation lifecycle
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Proven experience working as a Data Engineer or similar role, preferably in the airline industry or a related field.
  </li>
  <li>
   Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Apache Spark).
  </li>
  <li>
   Strong understanding of database technologies and SQL.
  </li>
  <li>
   Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.
   <br/>
   <br/>
  </li>
 </ul>
</div>


Data Engineer (Innovation)

Contango

<div>
 <strong>
  Contract duration:
 </strong>
 6 months (with a potential extension)
 <br/>
 <br/>
 <strong>
  Engagement Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 July 2026
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi (on-site)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.
  </li>
  <li>
   Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.
  </li>
  <li>
   Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.
  </li>
  <li>
   Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).
  </li>
  <li>
   Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.
  </li>
  <li>
   Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).
  </li>
  <li>
   Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.
  </li>
  <li>
   Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
  </li>
  <li>
   Prior experience at management consulting firms and/or Big Tech is an advantage.
  </li>
  <li>
   Strong programming in Python and SQL with solid software engineering fundamentals.
  </li>
  <li>
   Hands-on experience with Spark/PySpark and big-data processing at scale.
  </li>
  <li>
   Proven experience building production ETL/ELT pipelines.
  </li>
  <li>
   Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.
  </li>
  <li>
   Experience with a modern data platform (Databricks, Snowflake, or equivalent).
  </li>
  <li>
   Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).
  </li>
  <li>
   Understanding of data warehousing concepts, data modeling, data governance, and security best practices.
  </li>
  <li>
   Experience with dashboard or frontend engineering is a plus.
  </li>
  <li>
   Strong collaboration and communication skills, with the ability to work directly with clients.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
  </li>
  <li>
   3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.
  </li>
  <li>
   Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.
  </li>
 </ul>
</div>


Data Engineer (6 months contract)

<div><p><b>Contract duration: </b>6 months (with a potential extension)<br>
<b>Engagement Type:</b> Full-time<br>
<b>Start date: </b>July 2026<br>
<b>Location:</b> Abu Dhabi (on-site)</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise.<br>
<br>
<b>Key Responsibilities</b></p><ul><li><p>
Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.</p></li><li><p>
Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.</p></li><li><p>
Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.</p></li><li><p>
Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).</p></li><li><p>
Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.</p></li><li><p>
Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).</p></li><li><p>
Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.</p></li><li><p>
Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.</p></li></ul><p><b><br>
Candidate Requirements</b></p><ul><li><p>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</p></li><li><p>
Prior experience at management consulting firms and/or Big Tech is an advantage.</p></li><li><p>
Strong programming in Python and SQL with solid software engineering fundamentals.</p></li><li><p>
Hands-on experience with Spark/PySpark and big-data processing at scale.</p></li><li><p>
Proven experience building production ETL/ELT pipelines.</p></li><li><p>
Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.</p></li><li><p>
Experience with a modern data platform (Databricks, Snowflake, or equivalent).</p></li><li><p>
Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).</p></li><li><p>
Understanding of data warehousing concepts, data modeling, data governance, and security best practices.</p></li><li><p>
Experience with dashboard or frontend engineering is a plus.</p></li><li><p>
Strong collaboration and communication skills, with the ability to work directly with clients.</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</p></li><li><p>
3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.</p></li><li><p>
Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.</p></li></ul></div>

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Lunate

<div>
 <p>
  <strong>
   Firm Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Duties and Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
  </li>
  <li>
   Leverage AI Tools to design and automate our pipelines.
  </li>
  <li>
   Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
  </li>
  <li>
   Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
  </li>
  <li>
   Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
  </li>
  <li>
   Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
  </li>
  <li>
   Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
  </li>
  <li>
   Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
  </li>
  <li>
   Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
  </li>
  <li>
   Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
  </li>
  <li>
   Contribute to engineering standards, patterns, and documentation as the data function scales.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of professional data engineering experience delivering production pipelines.
  </li>
  <li>
   Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
  </li>
  <li>
   Hands-on experience with dbt, including testing and environment management.
  </li>
  <li>
   Familiarity with modern ingestion tools such as Fivetran.
  </li>
  <li>
   Strong grounding in data modelling fundamentals (Kimball and relational).
  </li>
  <li>
   Python-native, comfortable writing production-quality pipeline and orchestration code.
  </li>
  <li>
   Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
  </li>
  <li>
   Experience building replayable, idempotent pipelines with backfill support.
  </li>
  <li>
   Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
  </li>
 </ul>
</div>


Senior Data Engineer

Farah Experiences

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

Data Operations Senior Engineer

Brilliant Investment

<p><b>Job Purpose:</b></p><p>To manage day-to-day procurement processes, ensure efficient sourcing of materials and services, and support smooth execution of RFQs, supplier coordination, and procurement documentation, in alignment with company policies and project requirements.</p><p><b>Key Responsibilities:</b></p><p><b>1) Procurement Process Management &amp; RFQ Coordination</b></p><ul><li>Prepare and issue Requests for Quotation (RFQs) in line with project requirements.</li><li>Track RFQs and follow up continuously to avoid delays in procurement cycles.</li><li>Ensure completeness and compliance of quotations received with specified requirements.</li><li>Support Procurement Engineer in maintaining procurement workflow efficiency.</li></ul><p><b>2) Supplier &amp; Subcontractor Coordination</b></p><ul><li>Follow up proactively with vendors to secure quotations, clarifications, and updates.</li><li>Coordinate with vendors to ensure alignment with project timelines and requirements.</li><li>Support vendor registration and onboarding processes.</li></ul><p><b>3) Vendor Registration &amp; Database Management</b></p><ul><li>Manage supplier and subcontractor registration processes.</li><li>Maintain an updated and organized vendor database.</li><li>Ensure all vendors are documented and compliant with company requirements.</li></ul><p><b>4) Comparison Sheets &amp; Procurement Documentation</b></p><ul><li>Compile and organize supplier quotations.</li><li>Prepare structured comparison sheets (technical/commercial) for review by the Procurement Engineer.</li><li>Ensure clarity, accuracy, and completeness of procurement documentation.</li><li>Maintain proper documentation in line with company procedures and audit requirements.</li></ul><p><b>5) Procurement Tracking &amp; Delivery Coordination</b></p><ul><li>Maintain and update procurement logs covering RFQs, PO, and delivery status.</li><li>Monitor procurement progress and highlight delays or risks.</li><li>Follow up on supplier commitments and delivery schedules.</li><li>Coordinate with site teams to ensure timely delivery of materials.</li></ul><p><b>6) Supplier Performance Monitoring</b></p><ul><li>Track supplier responsiveness and delivery performance.</li><li>Maintain basic performance records for suppliers and subcontractors.</li><li>Highlight recurring issues or delays for further evaluation.</li></ul><p><b>7) Documentation, Record Keeping &amp; Audit Compliance</b></p><ul><li>Maintain organized, accurate, and audit-ready procurement records.</li><li>Ensure documentation is aligned with company policies and compliance standards.</li><li>Support audit requirements and provide documentation when required.</li><li>Coordinate with Procurement Engineer and relevant departments to ensure data accuracy.</li></ul><p><b>Key Performance Indicators (KPIs):</b></p><ul><li>Timeliness: 100% of RFQs issued and followed up within defined timelines.</li><li>Supplier Response Rate: Minimum 95% response rate from targeted vendors.</li><li>Accuracy: Minimum 95&ndash;98% accuracy in documentation and comparison sheets.</li><li>Tracking &amp; Reporting: Up-to-date procurement log with weekly reporting of all open items.</li><li>Delivery Performance: Minimum 95% percentage of on-time deliveries in coordination with suppliers.</li><li>Process Efficiency: Reduction in procurement cycle delays due to effective follow-up.</li></ul><p><b>Qualifications &amp; Experience:</b></p><ul><li>Bachelor&rsquo;s degree, diploma or related field (preferred). MOFA attested certificate is mandatory.</li><li>Minimum 2&ndash;3 years of experience in procurement within the UAE, preferably in construction or contracting.</li><li>Fluency in Arabic and English (written and spoken) is mandatory.</li><li>Good knowledge of procurement processes, supplier coordination, and documentation.</li><li>Ability to manage multiple tasks under pressure with strong follow-up discipline.</li></ul><p><b>Skills &amp; Competencies:</b></p><ul><li>Strong coordination and supplier follow-up skills</li><li>High level of persistence and communication ability</li><li>Strong attention to detail and accuracy</li><li>Good documentation and reporting skills</li><li>Proficiency in ERP systems and MS Office (preferred)</li></ul><p><b>Working Relationships:</b></p><ul><li><b>Internal</b>: Procurement, Site Engineers, Project Managers, Finance, Operations</li><li><b>External</b>: Suppliers, subcontractors, service providers</li></ul><p>Work Location: In person</p><p>Pay: AED4,000.00 per month</p><p>Work Location: In person</p>

Purchase Officer - Contracting Sector

Explore 297+ Database engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

297 database engineer jobs In Abu Dhabi

Data Engineer (Innovation)

Data Engineer (6 months contract)

Data Engineer (6 months contract)

Data Engineer

Senior Data Engineer

Data Operations Senior Engineer

Purchase Officer - Contracting Sector