Salary: £25,000 - 65,000 per year Requirements: Bachelors degree in computer science, information technology, engineering, mathematics, or a related field Experience in data engineering, database development, or a related field Advanced in Microsoft Excel and Power BI Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite) Hands-on experience of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks, AWS etc.) Experience with at least one programming language such as Python, R, Java, or Scala Expertise in data modelling, data warehousing concepts, and techniques Understanding of data governance, privacy, and security best practices and compliance requirements (e.g. GDPR) Responsibilities: Design, develop, and maintain scalable data pipelines and architectures for data collection, integration, and transformation from multiple sources Implement processes and systems to monitor data quality, ensuring consistency, completeness, and accuracy of data assets Optimise and troubleshoot data systems for performance, reliability, and scalability Collaborate with the wider group initiatives and key stakeholders to deliver data solutions that meet business requirements Manage and administer relational and non-relational databases, data lakes, and cloud data storage solutions Develop and maintain ETL (Extract, Transform, Load) workflows and ensure all processes adhere to data governance and security policies Document database structures, data flows, and processes for internal use Advise on development of key reports and dashboards Support with development and maintenance of reports and dashboards Automate repetitive data tasks and standardise practices to improve team productivity and data reliability Support data migration, integration, and cleansing activities during system upgrades or transitions Stay current with emerging data engineering trends, technologies, and best practices Contribute to internal knowledge sharing and documentation practices Participate in change management processes and ensure compliance with data protection regulations (e.g., GDPR) Support priority innovation projects by advising on data handling and best practices Involvement in strategic projects that directly influence business decisions Work with cross-functional teams and departments across the organisation Contribute to the evolution of data engineering practices within the organisation Technologies: AWS Cloud Databricks ETL Excel Fabric Support Java MySQL Oracle PostgreSQL Power BI Python SQL SQLite Scala Security Business Intelligence DevOps More: At James Fisher, we are a global engineering services company operating across Energy, Defence, and Maritime Transport. Our strong heritage in maritime operations enables us to deliver innovative solutions in challenging environments. We are committed to building a unified, sustainable business within the Blue Economy through our One James Fisher strategy, which focuses on driving progress through technology, expertise, and collaboration. We offer opportunities for career growth, a supportive and inclusive culture that values your ideas, and work that makes a difference in safety and innovation. We are proud to be a Disability Confident employer and recognize our success depends on our talented and diverse workforce. Located in Seething, Norfolk or London, we invite you to explore this opportunity with us. last updated 16 week of 2026