Senior Data Engineer - Enterprise Data Platform Build-out

Job Role: Senior Data Engineer

Location: Abu Dhabi, UAE (Onsite)

Experience: 10+ Years

Engagement Type: Contract

Duration: 1 Year (Extendable)

Salary: AED 25,000 - 26,000 (All Inclusive) + Visa Sponsorship + Medical (Only for Candidate)

Notice Period: Immediate Joiners to 15 Days Preferred

About the Role

We are hiring experienced Data Engineers to join a large-scale enterprise Data & AI transformation program based in Abu Dhabi, within the energy sector. This is a high-priority, onsite engagement supporting critical data acquisition, ingestion, and pipeline development initiatives for a major enterprise data platform build-out.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks (Delta Lake, Spark, Unity Catalog, notebooks, and workflows).
• Develop and manage Azure Data Factory (ADF) pipelines, including data ingestion and linked services configuration.
• Build and maintain data ingestion and integration workflows connecting to diverse source systems, including Oracle, flat files, and APIs.
• Design and implement ETL/ELT processes to support enterprise-scale data platforms.
• Collaborate with cross-functional stakeholders to ensure reliable, high-quality data delivery across the platform.
• Troubleshoot and optimize pipeline performance in a production enterprise environment.
• Follow established data governance, security, and documentation standards.

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Mandatory Skills

• 10+ years of overall experience in data engineering, with strong hands-on expertise in enterprise data platforms.
• Strong hands-on experience with Databricks — Delta Lake, Spark, Unity Catalog, notebooks, and workflows.
• Proven experience with Azure Data Factory (ADF) — pipeline development, data ingestion, and linked services.
• Demonstrated experience in data ingestion and integration, connecting to source systems such as Oracle, flat files, and APIs.
• Strong grounding in ETL/ELT design principles for enterprise-scale data platforms.

Good to Have

• Prior experience in energy, utilities, or other large regulated enterprise environments.
• Familiarity with data governance and cataloging practices using Unity Catalog.
• Exposure to CI/CD practices for data pipeline deployment.
• Working knowledge of Python and/or SQL for data engineering tasks.
• Experience working within large, multi-vendor program environments.

Interested candidates are requested to share their resume at [email protected]