Data Warehouse Developer

Experience Oxfordshire

Kidlington

Hybrid

GBP 40,000 - 49,000

Full time

5 hours ago
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Benefits offered by this job

Pension
Hybrid work
38 days annual leave
Family leave schemes
Cycle loan scheme
Bus travel discounts

Job summary

Experience Oxfordshire in Oxford is seeking a Data Warehouse Developer to design and maintain data pipelines and datasets for reporting and analysis. This role focuses on Microsoft Fabric, SQL Server and ETL/ELT processes, with hybrid working options and a 1-year fixed-term contract.

The successful candidate will contribute to data governance, ensure data quality, and support migrations while collaborating with both technical and non-technical teams to deliver reliable insights.

Qualifications

  • Strong practical knowledge of Microsoft Fabric, SQL Server, SQL/T-SQL and data engineering.
  • Experience with ETL/ELT processes and data integration for reporting.
  • Experience with Power Automate and preparing datasets for Power BI.
  • Ability to collaborate with technical and non-technical colleagues.

Responsibilities

  • Develop and maintain data solutions within Microsoft Fabric, managing data integration, transformation, modelling and pipelines.
  • Support data warehouse migration and improve data quality.
  • Collaborate with colleagues to ensure governance and reporting.

Skills

Microsoft Fabric
SQL Server
SQL/T-SQL
Data engineering
ETL/ELT
Power Automate
Power BI
Development best practices

Job description

Job Title: Data Warehouse Developer

Location: Clarendon Building, Broad Street, Oxford

Hours: Full-time, 37.5 hours per week

Contract type: Fixed-term for 1 year

Grade: Grade 7, £40,178 – £48,700 per annum

THIS POST COULD BE CONSIDERED AS A SECONDMENT OPPORTUNITY

About The Role

The Bodleian Libraries’ Assessment Team supports evidence-based decision-making across the Libraries.

In this exciting role, you will develop and maintain data solutions within Microsoft Fabric, managing data integration, transformation, modelling and pipelines to deliver reliable datasets for reporting and analysis. You will support data warehouse migration, improve data quality and collaborate with colleagues to ensure effective governance and reporting.

This is a full-time, fixed-term post for 1 year, working 37.5 hours per week.

Hybrid working is available, with up to 2 days working from home in agreement with the line manager.

About You

You will have strong practical knowledge of Microsoft Fabric, SQL Server, SQL/T-SQL and data engineering, including ETL/ELT processes.

You will have experience of Power Automate, preparing datasets for Power BI, and applying structured development practices.

You will demonstrate excellent problem-solving, organisational and communication skills, with a commitment to data quality and the ability to collaborate effectively with technical and non-technical colleagues.

What We Offer
Benefits

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:

  • An excellent contributory pension scheme
  • 38 days of annual leave
  • A comprehensive range of childcare services
  • Family leave schemes
  • Cycle loan scheme
  • Discounted bus travel and Season Ticket travel loans

More information is available at https://www.ox.ac.uk/about/jobs/life-in-oxford

Diversity

Our staff and students come from all over the world, and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diverse groups and champions, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example, shared parental leave.

We are committed to ensuring that our recruitment processes are inclusive and accessible. If you require the job description or any other materials in an alternative format, or if you would like to request any adjustments to support you through the application or interview process, please contact the recruitment team at recruitment@glam.ox.ac.uk.

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