Azure Data Engineer (Data Lake Ownership)

Michael Page; Dubai; On-site; AED 300,000 - 400,000; Full time

Job summary

Michael Page is seeking a hands-on Data Engineer in Dubai to own and enhance a business-critical data platform. The ideal candidate should have extensive experience in building Azure-based data lakes and operating production-grade pipelines, with strong skills in PySpark, SQL, and Python.

This role provides an excellent opportunity for involvement in a large-scale digital transformation, collaborating with senior stakeholders to ensure successful data governance and delivery of analytics capabilities.

Qualifications

• 5-7 years of Data Engineering experience with at least 1 full data lake delivery.
• Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark.
• Proven ownership of production pipelines (design, deploy, operate).

Responsibilities

• Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric).
• Develop production-grade Spark pipelines (batch & near real-time).
• Own data modelling for Power BI (star schema, semantic layers).
• Implement data governance, lineage, and quality controls.

Skills

Data Engineering

Azure stack

PySpark

SQL

Python

Data Governance

Job description

This role requires a hands‑on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution.

Client Details

A multi‑regional organisation undergoing a large‑scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise‑grade cloud, data, and analytics capabilities.

Description

• Design and build Azure‑based data lake (ADLS, ADF, Synapse/Fabric)
• Develop production‑grade Spark pipelines (batch & near real‑time)
• Own data modelling for Power BI (star schema, semantic layers)
• Implement data governance, lineage, and quality controls (e.g. Purview)
• Take full ownership of platform BAU: monitoring, performance, cost

Profile

• 5‑7 years’ Data Engineering experience with at least 1 full data lake delivery
• Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark
• Proven ownership of production pipelines (design, deploy, operate)
• Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365)
• Demonstrated experience structuring data specifically for Power BI

Job Offer

• End‑to‑end ownership of a business‑critical data platform
• Exposure to large‑scale transformation and senior stakeholders

Skills

Azure Data Engineer