Data Engineering Manager

Thurmaston
1 month ago
Applications closed

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Platform Engineering Manager

Data Engineering Manager

Data Engineering Manager - ID40916

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

We are looking for a talented, experienced and proactive Data Engineer to join our team and play a pivotal role managing our data platforms, integrating data from across the Flogas group of businesses, and providing insights and information to drive business value. This is an exciting opportunity to be at the centre of a major project to implement the Microsoft Fabric platform, working closely with Sales and Operational teams, as well as learning from Fabric consultants deploying the solution. Your work will focus on leveraging data to solve real-world challenges and deliver measurable results.

In this role, you’ll work with operational teams & customers to understand their challenges and support production of insights with provision of integrations and data to support data-driven decision-making. Acting as a key bridge between data and operations, you’ll also develop and deliver impactful Power BI dashboards that provide insight and value to both the business and its customers.

Your day-to-day will involve:

  • Managing the Fabric estate

  • Providing stable integrations

  • Ensuring good data governance

  • Ensuring visibility of data lineage whilst creating and maintaining dynamic reporting solutions

  • Defining and tracking key performance indicators (KPIs)

    You’ll also have the chance to innovate by identifying opportunities to exploit the potential and tools that come with the Microsoft Fabric technology stack. This could be automation of workflows, enhancing reporting tools, and implementing new ways of working that improve overall efficiency and effectiveness.

    Essential Skills Required:

  • Proficiency in Power Platform – especially Power Query and Power BI with experience creating dynamic dashboards and reports.

  • Proficiency in data analysis tools and software particularly, Excel, SQL, Python, Pyspark, R.

  • Knowledge/experience of data science solutions (ML, statistical analysis).

  • Experience of Data Warehousing, with Microsoft Fabric or SQL Server skills and advantage

  • Strong data storytelling and presentation skills, with the ability to simplify complex datasets into clear and actionable insights for diverse audiences.

    Knowledge / experience of having worked within the energy sector, and having an understanding of the sector specific challenges is highly advantageous.

    If you’re passionate about using data to solve problems, deliver insights, and make a real impact, we’d love to hear from you

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