Data Engineer

We are looking for a skilled and proactive IT Data Engineer to design and deliver high-quality, scalable data solutions that support digital transformation across the Sizewell C alliance.

You will play a key role in building and maintaining data pipelines, developing robust data platforms, and ensuring accurate, accessible data is available to support business decision-making. Working closely with BI analysts, project partners and functional teams, you will help shape and evolve the programme’s digital capability in a fast-paced, collaborative environment.

What You’ll Be Doing

• Data Engineering & Architecture: Design, build and maintain scalable data pipelines across structured and unstructured sources, developing data lakes, warehouses and enterprise data models to support reporting and analytics.
• Integration & Platform Management: Integrate datasets across multiple systems and partners, and manage cloud-based data platforms (primarily Azure), ensuring performance, reliability and scalability.
• ETL/ELT & Delivery Practices: Develop robust ETL/ELT processes and reusable components, embedding DevOps, CI/CD and automation best practices into the data engineering lifecycle.
• Data Quality, Governance & Security: Ensure strong data governance, quality and security standards are applied, maintaining compliance with UK GDPR and organisational controls.
• Reporting & Collaboration: Partner with BI teams to deliver trusted datasets and Power BI semantic models, supporting reporting, insights and wider digital transformation initiatives.

Essential

• Proven experience working as a Data Engineer
• Strong SQL skills and experience with data modelling
• Hands-on experience with Azure and cloud-based data tools
• Experience designing and building ETL/ELT pipelines
• Good understanding of data architecture, warehousing and integration principles
• Familiarity with DevOps concepts, including CI/CD and version control
• Experience supporting enterprise reporting environments, including Power Platform or Power BI
• Right to work in the UK (visa sponsorship is not available for this role)

Desirable

• Experience with Python, PySpark or R
• Exposure to Agile delivery environments
• Knowledge of data governance frameworks
• Experience working in infrastructure, regulated or large-scale project environments
• Familiarity with streaming technologies (e.g. Kafka, Event Hub, IoT Hub)
• Relevant Azure (e.g. DP-203) or Power BI certifications

Pulled from the full job description

• Annual leave
• Sick pay
• Employee assistance programme
• Company pension
• Paid volunteer time
• Private medical insurance, As well as being part of a landmark project and working in a collaborative alliance environment, we offer:
• Discretionary annual bonus (based on personal/project performance)
• Salary Sacrifice Pension Scheme (min. 5% company contribution)
• Enhanced Sick Pay (after probation)
• Income Protection, Private Medical Insurance and Life Assurance
• Employee Assistance Programme
• 25-days annual leave + Bank Holidays per year (increasing with service)
• Option to purchase additional annual leave
• Paid annual professional memberships
• Volunteering days
• Professional growth and development

The Geotechnical Sub Alliance (GSA) is at the forefront of the Sizewell C nuclear power station development - one of the UK’s largest and most exciting infrastructure programmes.

We’re responsible for preparing the foundations of the entire site: designing and constructing cut-off walls, retaining structures, soil improvements and more. Using advanced geotechnical engineering and world-class construction technologies, this is a rare opportunity to contribute to a national project that will shape the UK’s clean-energy future., When you join the world’s largest specialist geotechnical contractor, you’re part of an international community of over 10,000 experts, based in 31 countries around the world. You’ll have the opportunity to contribute to prestigious, ground-breaking projects, using the very latest tools and technology to solve complex problems, constantly learn new skills and take your career in any direction.