Analytics Engineer

Analytics Engineer

Permanent position

The Analytics Engineer is a vital role within the Maritime Transport division, bridging the gap between raw data and actionable Business Intelligence. The position design, implements and maintains data systems that support business objectives, operational efficiency and strategic decision‑making. The role can be based in either Seething, Norfolk or London.

• 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.
• Optimize and troubleshoot data systems for performance, reliability and scalability.
• Collaborate with 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 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 and support their maintenance.
• 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.

• Bachelor’s degree in computer science, information technology, engineering, mathematics or a related field.
• Experience in data engineering, database development or a related field.
• Advanced skills in Microsoft Excel and Power BI.
• Proficiency in SQL and experience with relational database management systems (e.g., Postgre
  
  SQL, MySQL, Microsoft SQL Server, Oracle, SQLite).
• Hands‑on experience with cloud data analytics platforms (e.g., Microsoft Fabric, Google Cloud Platform, Databricks, AWS).
• 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).

You will need excellent problem‑solving skills and the ability to troubleshoot complex data challenges. Strong communication skills for technical and non‑technical audiences are essential. The ability to work independently and collaboratively in a fast‑paced, team‑oriented environment is required. Eagerness to learn new skills, continuously improve and an enthusiasm for working smarter using data and technology are valued.

Opportunities for career growth and visibility across the organisation. A supportive, inclusive culture that values your ideas and contributions. Work that truly makes a difference in safety, innovation and global capability.

James Fisher is a global engineering services company operating across Energy, Defence and Maritime Transport. With a strong heritage in maritime operations, we deliver innovative solutions in challenging environments. Our One James Fisher strategy focuses on building a unified, sustainable business within the Blue Economy, driving progress through technology, expertise and collaboration. We are a trusted partner in the safe and efficient movement of the world’s critical resources.

James Fisher and Sons are committed to taking positive action on diversity and strongly encourage applications for candidates from all backgrounds. We are proud to be a Disability Confident employer and recognise that our success depends on our talented and diverse workforce.