Salary: £38,000 - 71,000 per year Requirements: Experience building and maintaining data pipelines. Strong Python and SQL skills. Experience working with structured data and databases. Understanding of data modelling and transformation techniques. Experience with Linux environments. Strong problem-solving and analytical skills. Ability to work independently within defined standards. Experience with orchestration tools or data platforms (desirable). Exposure to DevOps practices and automation (desirable). Experience in secure or regulated environments (desirable). Familiarity with service management tools (e.g. Jira, Confluence) (desirable). Responsibilities: Build and maintain scalable data pipelines (ETL/ELT) across multiple systems. Integrate data from diverse sources including databases, APIs, and enterprise systems. Ensure data quality, integrity, and availability across platforms. Monitor and optimise data pipelines for performance and reliability. Troubleshoot and resolve complex data and platform issues. Contribute to automation and CI/CD of data services. Collaborate with stakeholders to understand and deliver data requirements. Produce technical documentation, runbooks, and operational artefacts. Technologies: CI/CD Confluence DevOps ETL JIRA Linux Python SQL More: We are seeking a Data Services Engineer to join our Capability Engineering team, which delivers data platforms and pipelines supporting Royal Navy Maritime Domain Awareness outputs. This hands-on engineering role focuses on building reliable, scalable, and secure data solutions, working across the full data lifecycle to ensure data is accessible, trusted, and usable. last updated 19 week of 2026