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Follow →Office for National Statistics is seeking a Data Engineer to help build and optimise data pipelines across the data estate. You will work with SQL, Python, PySpark, and cloud platforms to move and transform data, ensuring quality and governance.
Join a team that values proactive collaboration, continuous learning, and adherence to ONS policies while delivering robust data engineering solutions for business decision making.
Designs and maintains cloud data pipelines for demographic data, writes Python/SQL to integrate and analyze datasets, and ensures high-quality outputs for government policy decisions.
Designs, builds, and maintains cloud data pipelines in Azure, ensuring data quality and security while collaborating with analytics teams to deliver reliable data products.
Designs, builds, and maintains scalable Azure-based data pipelines and ETL processes, integrating structured and unstructured data while ensuring quality and security.
Build and maintain cloud-based data pipelines and infrastructure in Azure to ingest, store, and process large volumes of data for government audits, enabling reliable data access and insights.
Build and maintain cloud-based data pipelines and ETL processes in Azure to ingest, store, and deliver clean, reliable data for audits and analytics at the UK National Audit Office.
Designs and maintains Azure-based data pipelines, integrating sources and ensuring quality and security to support analytics and insights for government audits.