Data Scientist jobs in United Arab Emirates
Senior Big Data Engineer: Ingestion & Warehouse Design
Zone IT Solutions
Security Engineer - Data-Native Environments (EDW/RTS)
Netsentries
Data Engineer (SAS) for Banking Data & Reporting
VAM Systems
Senior Data Engineer: Scalable Pipelines & Data Governance
Foodics
Discover more opportunities than anywhere else. Find more jobs nowBilingual Guest Data Specialist (English/Arabic)
FAIRMONT
Senior UT/UTCD Data Analyst — ILI Data & Reports
Pipecare Group
Data Analyst: Build Dashboards & Insights with R/Python/SQL
Ecojob
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Work in USA
Data Analyst: Dashboards, Insights & Reports
Abroad Work
Data Analyst (Entry-Level) - UAE | SQL & Python Ready
Flyper
Data Analyst: Drive Decisions with BI & Reports
JobLeader
Data Analyst: Transform Data into Decisions | Health+Bonus
Abroad Work
Data Analyst: Funnels, Attribution & Real-Time Insights
Marc Kirsten GmbH
AI Data Engineer
Job summary
A leading recruitment company is looking for a Data Engineer in Abu Dhabi to build reliable data pipelines and deploy AI solutions. This role combines data engineering and applied ML to enhance analytics and decision-making. Ideal candidates will have 5 years of experience in data engineering and expertise in tools like Azure and Python. The position offers the opportunity to make an impact in a dedicated data function with modern tooling.
Benefits
Qualifications
- 5 years in data engineering with at least 2 years of applied AI/ML in production.
- Strong ETL/ELT experience.
- Clear communicator who can align stakeholders and land outcomes.
Responsibilities
- Build and operate scalable ETL/ELT and streaming workflows.
- Deploy and maintain ML/LLM workloads tied to business use-cases.
- Instrument, monitor, and iterate for cost/performance/reliability.
Skills
Education
Tools
Own the end-to-end build of reliable data pipelines, performant storage, and operational AI.
In this role, you will blend data engineering with applied ML to power analytics, automation, and decisioning.
A transformation focused organisation where data and AI drive measurable impact. Collaborative, fast, and big on continuous improvement, with ethics and governance baked in.
- Build and operate scalable ETL/ELT and streaming workflows.
- Optimise storage, query performance, and model‑serving layers.
- Deploy and maintain ML/LLM workloads tied to clear business use‑cases.
- Shape high‑quality datasets with analysts/scientists; ship usable outputs.
- Implement MLOps, data/model governance, security, and compliance.
- Instrument, monitor, and iterate for cost/performance/reliability.
- Bachelor's in Computer Science, Data Science, Engineering, or similar.
- 5 years in data engineering with at least 2 years of applied AI/ML in production.
- Strong ETL/ELT, data architecture, and Azure experience (e.g., ADF, Databricks, Synapse).
- Proficient in Python, SQL, and common ML frameworks (e.g., TensorFlow, PyTorch).
- Working knowledge of data & model governance and responsible/ethical AI.
- Clear communicator who can align stakeholders and land outcomes.
- Impact at scale in a dedicated data function, shaping data & AI strategy.
- Modern tooling, cross‑functional squads, and meaningful problems to solve.
Skills
Data Engineer, AI, MLOps
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.