Data Engineer

Data Engineer (Azure | Databricks | PySpark | SQL) Contract | Remote | UK Public Sector Project Overview 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 Build and maintain ETL pipelines and code in cloud data platforms. Support ingestion activity and onboarding of new data sources. Work with the Databricks Data Intelligence Platform and develop Data Engineering workloads. Construct raw, refined and curated data layers; catalogue assets appropriately. Validate solutions against functional and non-functional requirements. Deliver datasets, transformations and performance-optimised data products. Improve processes, engineering patterns, and reusable tooling. Monitor and measure pipeline performance; support incident resolution. Ensure documentation meets acceptance standards and is approved centrally. Actively engage in Agile c