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Data Engineer

Job in Almondsbury, North Fringe of Bristol, Gloucestershire, England, UK
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
Location: Almondsbury

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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