Data Warehouse Developer

University of Oxford; Oxford; Hybrid; GBP 45.000 - 65.000; Vollzeit

Benefits dieser Stelle

38 days annual leave

Childcare services

Family leave schemes

Season Ticket travel loans

Zusammenfassung

The Bodleian Libraries at University of Oxford require a data engineer to develop and maintain data solutions within Microsoft Fabric, handling data integration, transformation, modelling and pipelines. The role supports data warehouse migration, improves data quality and collaborates across teams to ensure robust governance and reporting.

The position is full-time, fixed-term for 1 year (37.5 hours/week) with hybrid working up to 2 days from home in agreement with the line manager.

Qualifikationen

• Strong practical knowledge of Microsoft Fabric, SQL Server, SQL/T-SQL and data engineering, including ETL/ELT processes.
• Experience of Power Automate, preparing datasets for Power BI, and applying structured development practices.
• Excellent problem-solving, organisational and communication skills, with a commitment to data quality and collaboration with technical and non-technical colleagues.

Aufgaben

• Develop and maintain data solutions within Microsoft Fabric.
• Manage data integration, transformation, modelling and pipelines for reliable datasets.
• Support data warehouse migration, improve data quality, ensure governance and reporting.

Kenntnisse

Data engineering

Microsoft Fabric

SQL / T-SQL

ETL/ELT

Data governance

Power BI preparation

Problem solving

Collaboration

Tools

Microsoft Fabric

SQL Server

Power Automate

Power BI

Jobbeschreibung

UK date and time: 11-November-2026 20:17

Clarendon Building, Broad Street, Oxford OX1 3BG. Hybrid working is available.

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

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

• 38 days of annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Discounted bus travel and Season Ticket travel loans

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 [e-mail] .

FOR SECONDMENTS

Please discuss secondments with your line manager in the first instance, as you must have their agreement that you can be released for a secondment before you submit an application.

Only applications received online by 12.00 midday (GMT) on Monday 30 November 2026 can be considered. Interviews are expected to take place on Monday 14 December.