Data Analytics Engineer
Asset Resourcing
Data Analytics Engineer (Fabric) |
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 Microsoft Fabric, Databricks, Synapse, or similar modern data platform experience 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 certifications such as Fabric Data Engineer Associate (DP-700),
Fabric Analytics Engineer Associate (DP-600), Power BI Data Analyst Associate (PL-300), or Azure Data Fundamentals (DP-900). Proficiency in Python and SQL, including PySpark and Spark SQL, used across our Microsoft Fabric data platform. 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/wk).
TPBN1_UKTJ
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 Microsoft Fabric, Databricks, Synapse, or similar modern data platform experience 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 certifications such as Fabric Data Engineer Associate (DP-700),
Fabric Analytics Engineer Associate (DP-600), Power BI Data Analyst Associate (PL-300), or Azure Data Fundamentals (DP-900). Proficiency in Python and SQL, including PySpark and Spark SQL, used across our Microsoft Fabric data platform. 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/wk).
TPBN1_UKTJ
Reference: WJ-799_23702680