This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front.

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s in It for You: Big scope: real influence over how data is used in a modernising business Supportive team culture, with a flat structure and lots of autonomy Hybrid working and flexible hours Career development through both hands-on leadership and formal L&D A business that values curiosity, collaboration, and getting stuck in Let’s talk about what your next move could look like.