AI Data Engineer

Michael Page; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

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

Impact at scale in a dedicated data function

Modern tooling and cross-functional squads

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

Data Engineer

AI

MLOps

Python

SQL

Data architecture

Azure

Education

Bachelor's in Computer Science, Data Science, Engineering, or similar

Tools

Azure Data Factory

Databricks

Synapse

TensorFlow

PyTorch

Job description

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.

Client Details

A transformation focused organisation where data and AI drive measurable impact. Collaborative, fast, and big on continuous improvement, with ethics and governance baked in.

Description

• 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.

Profile

• 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.

Job Offer

• 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