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The role involves building and maintaining ETL pipelines and data models within a cloud-based data ecosystem. You will collaborate with cross-functional teams to implement scalable data flows and ensure solutions meet technical and security standards.
Data Engineer (Azure | Databricks | PySpark | SQL)
Contract | Remote | UK Public Sector Project
We are seeking a Data Engineer to support delivery of key data components within our evolving data ecosystem. This role will work closely with architects, analysts, engineers, and wider delivery teams to implement pipeline builds, data models, and integration patterns aligned to the organisation’s new Target Operating Model for Data.
You will contribute to the development of scalable data flows, optimise ingestion & transformation activities, and ensure solutions meet technical standards, performance expectations, and security controls. This is a hands-on engineering role ideal for someone who enjoys building, shaping, and improving modern data platforms.
Who We’re Looking For
A highly capable Data Engineer with hands-on experience building ETL pipelines, implementing Data Lake architectures, and working across Azure platform services. You will need strong problem-solving ability, a solid engineering mindset, and the ability to work collaboratively within a multi-disciplinary team.
If you’re confident writing production-grade code, applying design patterns, and building scalable, high-performing data products, this role offers technical autonomy, ownership, and challenge.
Key Responsibilities
Mandatory Requirements
Desirable
Soft Skills
Contract Details
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