Data Engineer
Our purpose
Inspiring and empowering our people to create a positive difference for themselves, our clients and the planet.
Sustainable Energy First is an energy and sustainability consultancy, founded to solve energy management problems in very large, complex commercial estates.
This remains the core of our business driven by a commitment to sustainability and the goal of reducing our clients’ carbon footprint.
The Role in a Nutshell
This role will provide dedicated data engineering capability within the Data Analytics & Intelligence team, with a primary focus on developing and optimising our use of Microsoft Fabric. The team has already begun establishing capability in Fabric alongside ongoing delivery. This role will build on that foundation - designing and implementing scalable data pipelines, reusable data models, and robust engineering patterns that support both current delivery and future growth. You will play a key role in moving us from project-based builds towards a more structured, platform-led approach to data.
Alongside platform development, you will also work across the whole business to improve how data is collected, stored, and managed. This includes reducing reliance on manual spreadsheets, supporting the evolution of our SQL-based database in collaboration with the in-house development team, and helping embed more consistent, well-governed data practices across teams. Where new data requirements are identified, you will take ownership of how that data is ingested, structured, and stored - ensuring it is set up in a way that supports scalable, long-term use across the business.
You will be central to strengthening our data foundations, enabling the BI and analytics teams to deliver faster, more reliable insight, and ensuring that data is structured in a way that is scalable, maintainable, and aligned with business needs.
Requirements
You will be;
Scalable Data Platform in Microsoft Fabric - Design and implement robust, scalable data pipelines and models within Microsoft Fabric that support consistent ingestion, transformation, and storage of data from across the business.
Efficient and Automated Data Processing - Leverage Fabric capabilities (including notebooks and pipelines) to enable efficient, repeatable, and automated data processing, reducing manual effort and improving reliability.
Structured and Accessible Business Data - Define and improve how data is collected, stored, and structured across the organisation, ensuring it is consistent, well-organised, and accessible for reporting, analytics, and operational use.
End-to-End Ownership of New Data Sources - When new data requirements are identified, design and implement the appropriate ingestion pipelines, storage structures, and data models - ensuring new data is captured and integrated in a way that supports scalable, long-term use.
Reduced Reliance on Manual Processes - Support the transition away from spreadsheet-driven workflows by delivering automated, governed data solutions that improve efficiency, accuracy, and consistency.
Strong and Evolving Data Foundations - Work with the in-house development team to support and enhance the SQL-based core database, ensuring it integrates effectively with the wider data platform.
Improved Data Governance and Quality - Strengthen data governance, quality, and consistency across the business by embedding good practices in how data is managed, transformed, and used.
About you;
Microsoft Fabric experience is a must - building pipelines, managing storage, and structuring data
SQL and data modelling - working with relational data and shaping it for analysis
Data pipelines and integration - building pipelines across APIs, databases, and working with development teams
Power BI integration - structuring and optimising data for use within Power BI
Modern data architecture - understanding lakehouse / warehouse approaches
Python for data processing - transformation and automation
Data governance awareness - data quality, consistency, and best practices
Cross-team working - improving data processes with technical teams and stakeholders
Energy / utilities experience (non-essential) - familiarity with sector data and challenges
Your impact;
Ownership mindset - takes responsibility for delivering and maintaining high-quality data solutions
Proactive - looks for ways to improve and simplify how data is handled
Collaborative - works effectively with BI developers, software developers, and business teams
Big-picture thinking - understands how data fits across the wider business, not just one team/area
Structured approach - builds solutions that are scalable, maintainable, and well-organised
Attention to detail - focused on data accuracy, consistency, and reliability
Curious and adaptable - open to learning and evolving with new tools and approaches
Pragmatic - balances ideal solutions with real-world constraints and delivery needs
Benefits
Salary: £45,000 to £55,000 dependant on experience
Holidays: 25 days + bank holidays + your birthday off, increasing to 30 days on length of service
Hybrid working (at least 2 days per week working from our Fulwood, Preston office)
Flexible working - including the ability to bank up to to 5 extra days off per year
Gym contribution
Long service awards
Private Medical Insurance
Enhanced paternity/non-pregnant colleague and maternity/pregnant colleague leave
Simply Health scheme
EV Scheme
Inclusion and Belonging
We believe that diversity is more than a commitment, it’s at the heart of who we are. We aim to create an environment where everyone feels respected, valued, and empowered to bring their whole selves to work.
We celebrate different perspectives, backgrounds, and experiences because we know they make us stronger, bolder and more imaginative, which link to our core values. By fostering a culture of belonging, we aim to provide a workplace where every voice is heard, and every individual can thrive.
Our culture has been set up to bring the best out of our people. If we sound like the kind of business where you’re ready to take the next step, then we look forward to hearing from you!