Data Engineer

Ignite Digital Talent

Reading

Hybrid

GBP 50,000 - 70,000

Full time

14 days+
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Benefits offered by this job

Flexible hybrid working
Competitive salary and benefits
10% bonus
Private medical
Generous pension

Job summary

A leading digital talent firm in Reading is seeking a Data Engineer / Analyst to join their team. This role involves designing ETL pipelines, optimising data processes, and delivering insights through Power BI. Ideal candidates will have strong SQL, Azure Data Factory, and SSIS experience. The position offers flexible hybrid working, competitive salary, and benefits including a 10% bonus and private medical coverage.

Qualifications

  • Strong experience with SQL Server (T-SQL, stored procedures, optimisation).
  • Hands-on expertise with Azure Data Factory 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 desirable.
  • Excellent problem-solving skills with a proactive attitude.
  • Strong communication skills and ability to work with stakeholders.

Responsibilities

  • Design, build, and maintain ETL pipelines using Azure Data Factory, SSIS, and SQL Server.
  • Develop and optimise stored procedures and queries for data transformation.
  • Build and maintain data warehouse solutions and dimensional data models.
  • Support data integration projects ensuring data quality and consistency.
  • Deliver insights through Power BI dashboards and reports.
  • Use Python and PowerShell for automation and data manipulation.
  • Collaborate with business stakeholders to translate requirements into technical solutions.

Skills

SQL Server
Azure Data Factory
SSIS
ETL/data integration solutions
Power BI
Python
PowerShell
data warehousing
dimensional modelling

Job description

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.

What You’ll 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 We’re 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
  • Financial services or insurance experience is desirable but not essential
  • 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 1–2 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 you’re a Data Engineer or Data Analyst with strong SQL, ADF, and SSIS experience, we’d 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.

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