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For Companies At a Glance
- Tasks: Design and maintain data systems that turn raw data into actionable insights.
- Company: Join James Fisher, a leader in global engineering services with a focus on innovation.
- Benefits: Career growth opportunities, inclusive culture, and impactful work in maritime transport.
- Why this job: Make a real difference by optimising data for strategic decision-making.
- Qualifications: Degree in a related field and experience in data engineering or database development.
- Other info: Collaborative environment with a commitment to diversity and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
The Analytics Engineer is a vital role throughout the Maritime Transport division, bridging the gap between raw data and actionable Business Intelligence. This role is instrumental in designing, implementing, and maintaining data systems that support business objectives, operational efficiency, and strategic decision-making.
Key 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 practice.
Additional Responsibilities
- 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.
Key Skills and Experience
- 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?
- 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.
Why join us?
- 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 now deliver innovative solutions in challenging environments. Our One James Fisher strategy is focused on building a unified, sustainable business within the Blue Economy, driving progress through technology, expertise, and collaboration. With two centuries of maritime shipping and innovation, James Fisher is a trusted partner in the safe and efficient movement of the world’s critical resources. If this sounds like the ideal next step in your career, then click ‘apply’ now!
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.
Analytics Engineer employer: James Fisher and Sons plc
Contact Detail:
James Fisher and Sons plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research common questions for Analytics Engineers and practice your answers. Make sure you can showcase your skills in SQL, data pipelines, and cloud platforms – they’ll want to see you in action!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for data and technology. Tailor your approach to show why you’re a perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to remind them of your enthusiasm and fit for the role.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in SQL, cloud platforms, and programming languages like Python or R. We love seeing practical examples of how you've used these skills in past roles, so include any relevant projects or achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to apply directly!
How to prepare for a job interview at James Fisher and Sons plc
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Power BI, and cloud platforms. Brush up on your skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you resolved them. This role requires excellent problem-solving abilities, so demonstrating your thought process will impress the interviewers.
✨Understand Business Impact
Be ready to explain how your work as an Analytics Engineer can influence business decisions. Think about how data-driven insights can improve operational efficiency and support strategic goals, and share relevant examples.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. Good communication is key, so think about how you can convey your ideas effectively during the interview.
