Data Engineer

Hybrid Reading (12 days per month in the office)
Competitive Salary + Benefits

We are looking for a Data Engineer / Analyst to join our growing data team. This is a fantastic opportunity to work on cutting‑edge Azure data solutions, helping to shape and deliver high‑quality, scalable data platforms that drive real business insights.

If you are passionate about data engineering, SQL, and Azure technologies, and want to make a genuine impact in a collaborative environment, this could be the role for you.

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• Designing, building, and maintaining ETL pipelines using Azure Data Factory, SSIS, and SQL Server
  
• Developing and optimising stored procedures and queries for data transformation and integration
  
• Building and maintaining data warehouse solutions and dimensional data models
  
• Supporting data integration projects and ensuring data quality, accuracy, and consistency
  
• Delivering insights through Power BI dashboards and reports
  
• Using Python and PowerShell for automation and data manipulation
  
• Collaborating with business stakeholders to translate requirements into technical data solutions
  

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• Strong experience with SQL Server (T‑SQL, stored procedures, optimisation)
  
• Hands‑on expertise with Azure Data Factory (ADF) and SSIS
  
• Solid understanding of data warehousing and dimensional modelling
  
• Proven experience building ETL/data integration solutions
  
• Exposure to Power BI, Python, and PowerShell is highly desirable
  
• Excellent problem‑solving skills with a proactive, can‑do attitude
  
• Strong communication skills and ability to work closely with stakeholders
  

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• Flexible hybrid working - only 12 days per month required in the Reading office
  
• Opportunity to work with modern Azure data technologies
  
• A collaborative, supportive team culture where your ideas are valued
  
• Clear pathways for career progression and development
  
• Competitive salary and benefits package including 10% bonus, private medical & generous pension
  

If youre a Data Engineer or Data Analyst with strong SQL, ADF, and SSIS experience, wed love to hear from you!

Equal Opportunities: We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, gender, age, disability, or other protected characteristics.