Analytics Engineer
Role details
Job location
Tech stack
Job description
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., 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 practiseIn addition: 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).Who are we looking for? You will need 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.