Data Engineer

Data Engineer Position based in Horsham or Watford

We are seeking a highly skilled and motivated Data Engineer – Power BI to lead the design, development, and implementation of Business Intelligence (BI) solutions. This role involves engaging with stakeholders across the organisation to deliver insightful, data-driven reports that support strategic decision-making.

Location: Astral House, Imperial Way, Watford WD24 4WW or Albion House, Springfield Road, Horsham RH12 2RW
Working Hours: 40 hours per week (Monday – Friday, 9:00 AM start)
Contract Rate: £400 – £500 per day (depending on experience)

Key Responsibilities

• Collaborate with business stakeholders to identify and define BI reporting requirements and improvement opportunities.

• Design and develop functional and visually compelling BI reports using Microsoft Power BI and other reporting tools.

• Maintain and enforce BI-related policies, standards, and governance procedures.

• Translate business needs into technical specifications and deliver actionable insights via reporting solutions.

• Support and maintain BI solutions across development, UAT, and production environments.

• Apply advanced analytics and data visualisation techniques to uncover trends and patterns in complex datasets.

• Ensure documentation and processes align with the organisation’s development methodologies, including SDLC.

• Provide operational support and administration for deployed BI platforms, ensuring optimal performance and accuracy.

Key Skills and Experience

• Minimum 5 years of experience in Business Intelligence development.

• At least 2 years of experience working within structured, managed ICT service environments.

• Degree in IT, Computer Science, or a related field.

• Proven expertise in:

  • Power BI, DAX, R Script, Cognos

  • SQL Server, Azure SQL Server

  • Fact/dimension modelling and database design

  • Report deployment via Microsoft Visual Studio and Azure DevOps

• Strong command of Microsoft Office Suite and Windows Server environments (2012/2016).