3 of 3 ETL Jobs in Cheltenham

and other upstream systems into the DWH. Analyse end-to-end data flows across operational and reporting systems. Document and optimise processes relating to data extraction, transformation, and load (ETL). Translate business requirements into clear, testable functional and non-functional specifications. Produce and maintain data dictionaries, lineage documentation, and reporting logic. Act as the primary liaison between business SMEs More ❯

in Big Data Java development. In-depth knowledge of Big Data frameworks, such as Hadoop, Spark, and Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages like Scala, Python, or SQL. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes). Strong knowledge of software development More ❯

driven HealthTech company to find a talented Senior Data Engineer. In this role, you'll work on healthcare data pipelines and platforms, with a strong focus on building robust ETL processes and scalable data architectures. You'll collaborate closely with cross-functional teams to deliver high-quality, reliable data solutions that support impactful health outcomes. You will develop and maintain … our data infrastructure, working with both data processing technologies and storage systems. Your commitment to best practices will be essential as you build secure data pipelines, implement efficient ETL processes following healthcare standards, optimise data workflows for performance, and ensure our data solutions are highly scalable and maintainable. You'll tackle diverse technical challenges across our data stack, emphasizing security … expanding your technical expertise. Your role will be crucial in building scalable, secure data solutions that enhance our ability to deliver quality healthcare services. Key Responsibilities Design and implement ETL pipelines for healthcare data using Python, SQL, and cloud-based tools Develop and maintain data infrastructure on Azure including data lakes, warehouses, and processing frameworks Create robust data transformation processes More ❯