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The Analytics Engineer is a vital role throughout the Maritime Transport division, bridging the gap between raw data and actionable Business Intelligence. As James Fisher progresses on its journey adopting new technologies, this role is instrumental in designing, implementing, and maintaining data systems that support business objectives, operational efficiency, and strategic decision-making.
Job Responsibility:
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 practise
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
Requirements:
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 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)
Excellent problem-solving skills and the ability to troubleshoot complex data challenges
Strong communication skills for technical and non-technical audiences
The ability to work independently and collaboratively in a fast-paced, team-oriented environment
Eagerness to learn new skills and continuously improve
An enthusiasm for working smarter, using data and technology
What we offer:
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