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Data Engineer | Permanent | £55,000-£60,000 | Gloucester / Hybrid \n \n 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. \n \n Background: \n \n 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. \n \n The role, in two phases: \n \n Phase 1: Fix and own. \n \n 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). \n \n Phase 2 (ongoing): Expand to include reporting. \n \n Once the core system is stable, the role broadens to include 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. \n \n Simultaneous: \n \n Bring Data Hub and Data Warehouse closer in design standards. \n \n Must-haves: \n \n\n • Strong SQL\n, • Power BI (building and owning reports/dashboards, not just consuming)\n, • Comfortable working with ambiguous, undocumented systems and untangling them\n, • Confident communicator, able to work directly with senior stakeholders\n\n \n Nice-to-haves: \n \n\n • Microsoft Fabric, Databricks, Synapse, or similar modern data platform experience\n, • Experience with ERP/finance systems data (NetSuite, SAP, Dynamics, etc.)\n, • Experience picking up and fixing another team's/vendor's build\n\n \n Reporting line: Reports to a remote-first manager; role itself has flexibility on office attendance, ideal candidates within reach of Gloucester (3 days).

Senior Data EngineerLocation: Gloucester - 2 days / 3 days WFH per weekSalary: Up to £85,000Benefits: Excellent benefits package, career development and the opportunity to shape a growing data platform. Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform. This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation. Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business.What you'll do\n\n • Design, build and maintain enterprise data architecture and scalable data pipelines.\n, • Administer and optimise a Snowflake data warehouse environment.\n, • Develop robust ELT pipelines using modern data engineering best practices.\n, • Build dimensional data models and reporting datasets to support business intelligence.\n, • Create insightful dashboards and reports using Power BI.\n, • Define and promote data governance standards and data quality initiatives.\n, • Analyse complex datasets and translate business requirements into technical solutions.\n, • Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities.\n, • Support and educate business users on data best practice.\n, • Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives.\n You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value.What we're looking for We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms. Essential experience includes:\n\n, • Strong commercial SQL development experience.\n, • Proven experience administering enterprise data warehouses.\n, • Experience with Snowflake.\n, • Experience developing data pipelines and ELT processes.\n, • Strong knowledge of data warehousing principles and dimensional modelling (Kimball).\n, • Experience using dbt.\n, • Power BI report and dashboard development.\n, • Strong stakeholder management and communication skills.\n, • Excellent analytical and problem-solving ability.\n, • Experience documenting data solutions and technical specifications.\n, • Understanding of data governance, GDPR and data security principles. \nDesirable experience:\n\n, • Fivetran or similar integration tools.\n, • Microsoft Fabric.\n, • GitHub and modern SDLC practices.\n, • ERP integrations such as Dynamics 365 or Infor.\n, • Exposure to AI technologies including Snowflake Cortex or OpenAI tooling.\n, • Experience within engineering, manufacturing or aerospace environments.\n The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment.Why join?\n\n, • Play a key role in shaping a growing enterprise data platform.\n, • Work with modern cloud technologies including Snowflake, dbt and Power BI.\n, • Influence data strategy and architecture across a global business.\n, • Join a collaborative team focused on innovation, data quality and continuous improvement.\n, • Opportunity to work on high-impact projects with genuine business visibility.\n

Senior Data Engineer Location: Gloucester - 2 days / 3 days WFH per week Salary: Up to £85,000 Benefits: Excellent benefits package, career development and the opportunity to shape a growing data platform. Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform. This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation. Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business. What you'll do Design, build and maintain enterprise data architecture and scalable data pipelines. Administer and optimise a Snowflake data warehouse environment. Develop robust ELT pipelines using modern data engineering best practices. Build dimensional data models and reporting datasets to support business intelligence. Create insightful dashboards and reports using Power BI. Define and promote data governance standards and data quality initiatives. Analyse complex datasets and translate business requirements into technical solutions. Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities. Support and educate business users on data best practice. Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives. You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value. What we're looking for We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms. Essential experience includes: Strong commercial SQL development experience. Proven experience administering enterprise data warehouses. Experience with Snowflake. Experience developing data pipelines and ELT processes. Strong knowledge of data warehousing principles and dimensional modelling (Kimball). Experience using dbt. Power BI report and dashboard development. Strong stakeholder management and communication skills. Excellent analytical and problem-solving ability. Experience documenting data solutions and technical specifications. Understanding of data governance, GDPR and data security principles. Desirable experience: Fivetran or similar integration tools. Microsoft Fabric. GitHub and modern SDLC practices. ERP integrations such as Dynamics 365 or Infor. Exposure to AI technologies including Snowflake Cortex or OpenAI tooling. Experience within engineering, manufacturing or aerospace environments. The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment. Why join? Play a key role in shaping a growing enterprise data platform. Work with modern cloud technologies including Snowflake, dbt and Power BI. Influence data strategy and architecture across a global business. Join a collaborative team focused on innovation, data quality and continuous improvement. Opportunity to work on high-impact projects with genuine business visibility

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