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Data Engineer
Job in
Almondsbury, North Fringe of Bristol, Gloucestershire, England, UK
Listed on 2026-01-23
Listing for:
Assystem, Switch On
Full Time
position Listed on 2026-01-23
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager -
Engineering
Data Engineer, Data Science Manager
Job Description & How to Apply Below
Company Description
⚡️💡 About Assystem
At Assystem, our mission is to accelerate the energy transition worldwide. Our 8,000 Switchers blend historical engineering expertise with cutting-edge digital technologies to drive this change. Join us in revolutionizing the energy sector and making a significant global impact.
🤝 Why Join the Community of Switchers?
Be part of one of the top three largest nuclear engineering companies globally. At Assystem, you'll contribute to groundbreaking projects that push the boundaries of innovation and engineering excellence. Join a community committed to driving forward the future of energy.
Job Description
🚀 The Job Mission
The Data Engineer is responsible for designing, building, testing, and operating robust data products that underpin Assystem’s analytics and reporting capability. Working as part of a multidisciplinary Information Management Pod, the role translates business and architectural designs into scalable, secure, and maintainable data solutions.
The Data Engineer works closely with Performance Analysts and Data Architects to deliver high-quality data pipelines and products that enable trusted insight and decision-making across major nuclear programmes.
🔧 Key Responsibilities
Review business objectives, requirements, and functional designs to assess feasibility and define appropriate technical implementation approaches
Design and engineer data products and services that integrate seamlessly with business systems and processes, aligned to architectural standards
Develop data products using Databricks, Power BI, and other appropriate technologies, applying robust, scalable, and maintainable engineering practices
Build and maintain ingestion, transformation, and load routines to support the organisation’s analytics platform
Test data products to ensure they meet functional, quality, performance, and security requirements
Operate and support live data products, improving cost, performance, and reliability through optimisation, monitoring, and continuous improvement
Support troubleshooting and resolution of data quality or performance issues across the data pipeline
🧭 Contextual Information
The Data Engineer operates within an Information Management Pod, delivering technical solutions based on architectures defined by the Data Architect and requirements captured by the Performance Analyst. The role is fundamental to ensuring that analytics platforms are supported by reliable, well-engineered data pipelines.
All activities are governed by the Information Design Authority (IDA) process, which ensures consistency between requirements, architecture, and technical delivery. Any deviations identified during development or operation must be formally captured and managed through the IDA governance framework.
This role suits an engineer who enjoys working in regulated, safety-critical environments and who can balance technical excellence with strong collaboration across business and delivery teams.
Qualifications
🎓 Qualifications, Knowledge & Skills
Essential
Experience designing and developing data pipelines and products within an analytics or reporting environment
Strong working knowledge of SQL or Python for data transformation, validation, and troubleshooting
Experience developing and supporting data visualisation solutions (Power BI preferred)
Understanding of data integration, reconciliation techniques, and data quality controls
Strong analytical and numerical skills, with the ability to communicate technical concepts clearly to non-technical stakeholders
Ability to work independently, manage multiple priorities, and collaborate effectively across multidisciplinary teams
Proficiency with Microsoft Office tools
General engineering knowledge or experience working in engineering, construction, or asset-intensive environments
Desirable
Experience using Databricks or similar cloud-based data platforms
Familiarity with data governance frameworks and working in highly regulated environments (e.g. nuclear, infrastructure, or safety-critical sectors)
Knowledge of advanced Power BI features and VBA for automation
Experience working within structured delivery environments with formal governance…
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