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# Data Engineer

- **Company:** Geotech Sub Alliance
- **Location:** Nacton, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Database, Encodings, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Database Queries, DevOps, Python (Programming Language), Power BI, Enterprise Data Management, Cloud Platform System, Data Lakes, Pyspark, Apache Kafka, Data Management, Video Streaming, Software Version Control, Data Pipelines
- **Published:** July 3, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=4e0707befd43a43b

## About the Role

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

## Description

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.


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