National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Snr Data Engineer

Abu Dhabi
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Our client, a major energy company in the UAE, is seeking an experienced Senior Data Engineer to join their team for a 12-month rolling contract.

This position offers a fantastic opportunity for candidates looking to work in a dynamic, fast-paced environment while benefiting from tax-free income, comprehensive relocation support, visas, and healthcare.

If you have a passion for building scalable data infrastructure and have client-facing experience, this could be the perfect opportunity for you.

Key Responsibilities:

Data Infrastructure & Architecture: Design, develop, and maintain scalable data pipelines, databases, and data warehouses.

Client-Facing: Collaborate directly with clients to understand their business needs and provide data-driven solutions.

Data Integration: Integrate data from multiple sources, ensuring high performance, reliability, and accuracy.

Data Modeling: Create and maintain data models to ensure easy accessibility and usability of data for analytics and reporting purposes.

Automation & Optimization: Identify opportunities to automate repetitive tasks and optimize data workflows.

Performance Tuning: Monitor and tune system performance to ensure high availability and efficient resource utilization.

Collaborative Development: Work alongside data scientists, analysts, and other engineering teams to build data solutions that support business objectives.

Documentation & Reporting: Document data pipelines, processes, and solutions to ensure transparency and maintainability.

Key Requirements:

Experience:

3-5 years of experience in data engineering or related fields.

Proven experience working in client-facing roles.

Solid understanding of data infrastructure and experience with modern data platforms (e.g., AWS, Azure, GCP).

Hands-on experience with ETL frameworks and data integration tools (e.g., Apache Airflow, Talend, Informatica).

Expertise in data modeling, database management, and query optimization.

Technical Skills:

Proficient in SQL, Python, or Scala.

Strong experience with cloud technologies and platforms (AWS, GCP, or Azure).

Familiarity with big data tools (e.g., Hadoop, Spark, Kafka).

Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.

Knowledge of DevOps and CI/CD pipelines is desirable.

Communication & Leadership:

Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Certifications (Preferred):

AWS Certified Data Analytics - Specialty or equivalent certifications.

Google Cloud Professional Data Engineer or equivalent certifications.

Benefits & Perks:

Tax-Free Income: Competitive salary package with tax-free income.

Relocation Support: Assistance with relocation costs and logistics..

Visa & Work Permits: Full visa sponsorship and work permits provided.

Healthcare: Comprehensive healthcare coverage for the duration of the contract.

12-Month Rolling Contract: Opportunity to extend or transition into a permanent role depending on performance and business needs.

GCS is acting as an Employment Business in relation to this vacancy

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.