At a Glance
- Tasks: Take ownership of finance data infrastructure and modernise reporting systems.
- Company: Established business transforming its finance systems with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Flexible working environment with a supportive remote-first management approach.
- Why this job: Make a real impact by stabilising and enhancing critical data systems.
- Qualifications: Strong SQL and Power BI skills, plus experience with ambiguous systems.
The predicted salary is between 55000 - 60000 £ per year.
Permanent | £55,000-£60,000 | Gloucester / Hybrid
Our client, a well-established business currently modernising its finance systems, is looking for a Data & Analytics Engineer to take ownership of a critical piece of their new finance data infrastructure.
Background:
The business recently completed a major finance system implementation via a third-party partner. During that project, a gap emerged requiring a middleware layer to bridge legacy and new systems; the interim solution built to plug that gap is overly complex and not functioning reliably. Rather than continue funding the third party to fix it, the business wants to bring this capability in-house.
The role, in two phases:
- Phase 1 (first ~6 months): Fix and own. Take ownership of the existing middleware, stabilise it, and begin replacing it with a cleaner, sustainable solution built around modern data tooling (Microsoft Fabric, Databricks, or equivalent, plus SQL and Power BI).
- Phase 2 (ongoing): Expand to include reporting. Once the core system is stable, the role broadens into wider business reporting, including building and owning an Executive Suite reporting pack. This requires strong stakeholder engagement skills to gather requirements from senior stakeholders across the business.
Simultaneous: Bring Data Hub and Data Warehouse closer in design standards.
Must-haves:
- Strong SQL
- Power BI (building and owning reports/dashboards, not just consuming)
- Comfortable working with ambiguous, undocumented systems and untangling them
- Confident communicator, able to work directly with senior stakeholders
Nice-to-haves:
- Microsoft Fabric, Databricks, Synapse, or similar modern data platform experience
- Experience with ERP/finance systems data (NetSuite, SAP, Dynamics, etc.)
- Experience picking up and fixing another team's/vendor's build
Reporting line: Reports to a remote-first manager; role itself has flexibility on office attendance, ideal candidates within reach of Gloucester (3 days).
Data Engineer in Gloucester employer: Asset Resourcing
Asset Resourcing is an excellent employer that values its employees by offering a supportive work culture and opportunities for professional growth. With a hybrid working model, employees enjoy flexibility while being part of a collaborative team dedicated to delivering exceptional IT support. The company fosters continuous learning and development, making it an ideal place for those looking to advance their careers in technology.
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We think this is how you could land Data Engineer in Gloucester
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We think you need these skills to ace Data Engineer in Gloucester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
