Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

James Fisher and Sons plc
Aberdeen
2 days ago
Create job alert
About the Role

Data Engineer
Permanent, Full-time
UK - Location TBC


About Us

James Fisher is a global engineering services company. From our origins as a ship owner and operator, we’ve evolved to provide the expertise and innovative technology our customers need in the harshest of environments across Energy, Defence and Maritime Transport.


We arerelied on to help ourcustomers deliver on their promises and realise their ambitions safely, efficiently and responsibly.


We have a strong heritage built on the foundations of our people and innovation. Alongside our valuable partnerships with customers, communities and suppliers, we are embedding a more sustainable approach across our business.


Our strategy is centred around the One James Fisher ambition. We are building a stronger, more cohesive engineering service company operating in the Blue Economy.



  • The Energy Division provides safe, sustainable products and services for two core markets, oil and gas and renewables.
  • The Defence Division provides underwater systems and life support capabilities, for the defence and commercial diving markets.
  • Maritime Transport is a leading provider of global maritime shipping and ship-to-ship (STS) transfer services.

Together, we are building a brighter, bolder and more innovative future.


The Role

As a Data Engineer within Group IT, you will play a pivotal role in transforming raw data into meaningful insights that drive strategic decision-making and operational efficiency. You’ll be at the forefront of designing, implementing, and maintaining robust data systems that support key business objectives. This role offers the opportunity to contribute to high-impact strategic projects, collaborate with cross-functional teams across the organisation, and help shape the future of data engineering practices within the business.


Principle Accountabilities

  • 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 IT team 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 and technical audits.
  • 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.
  • Create and maintain conceptual and logical data models in Unified Modelling Language (UML).
  • Create and maintain business process flowcharts in BPMN2.0 notation
  • Contribute to internal knowledge sharing and documentation practices.
  • Participate in change management processes and ensure compliance with data protection regulations (e.g., GDPR).

Qualifications and Experience

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
  • Proven experience in data engineering, database development, or a related field.
  • Intermediate to 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).
  • Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc.)
  • Experience with at least one programming language such as Python, Java, or Scala.
  • Familiarity with ETL frameworks and tools
  • Expertise in data modelling, data warehousing concepts, and techniques.
  • Hands‑on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services.
  • 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.
  • Ability to work independently and collaboratively in a fast‑paced, team‑oriented environment
  • Eagerness to learn new skills and continuously improve.
  • Enthusiasm for working smarter using data and technology.

If this sounds like the ideal next step in your career, then click ‘apply’ now!


You can find out more about James Fisher & Sons group companies and valued behaviours by watching a short film here: We are One James Fisher - YouTube


Due to the volume of applications, we receive for our vacancies, on occasion applications may close before the deadline, so please apply early to avoid disappointment.


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 thatour success depends on our talented and diverse workforce. For more information Click here


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.