Job Description

Data Engineer / Data Analyst

Hybrid Reading (12 days per month in the office)

Competitive Salary + Benefits

About the Role

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.

What Youll Be Doing

• 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

What Were Looking For

• 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

Why Join Us?

• 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

How to Apply

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.