Salary: £42,000 - 82,000 per year Requirements: Proven experience in data engineering and pipeline automation Familiarity with DevOps practices and tools Strong programming skills in languages such as Python or Java Experience with data warehousing and ETL processes Knowledge of cloud platforms like AWS, Azure, or Google Cloud Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Responsibilities: Design and implement data pipelines to support various analytics needs Optimize existing data workflows for performance improvements Collaborate with cross-functional teams to ensure data availability and quality Automate data ingestion and processing tasks Monitor and troubleshoot data pipeline issues Document processes and workflows for future reference Technologies: AWS Azure Cloud DevOps ETL Support Java Python Flow More: We are looking for a Data Ops Engineer to join our team in Norwich for a flexible 3-day in-office arrangement. This role is essential in bridging data engineering, operations, and DevOps practices, helping to deliver reliable and timely data across our organization. We offer a dynamic work environment and the opportunity to work on meaningful data projects over a 6-month assignment. last updated 13 week of 2026