Location: Newport
Join the Intellectual Property Office (IPO) and help shape the systems that support businesses, creators and innovators across the UK and beyond. This is a brilliant opportunity to work on enterprise-scale data services, driving improvements that keep systems reliable, scalable and ready for the future.
You’ll be part of a forward-thinking Digital, Data and Technology team, working with modern tools and approaches to deliver high-quality services that make a real difference.
About The Role
As a Senior Data Engineer, you’ll play a key role in designing, building and improving IPO’s data infrastructure. Working within a multidisciplinary delivery team, you’ll develop robust data services and solutions that support both internal teams and external users.
This is a hands‑on technical role where you’ll build and optimise data pipelines, support cloud-based platforms, and help ensure data is accessible, reliable and reusable across the organisation. You’ll also have the opportunity to explore new technologies and contribute to building a strong, modern data engineering capability.
The role follows a hybrid working model, with time split between home working and the Newport office.
What You’ll Be Doing
* Lead and deliver data enhancements, using the team’s tools and expertise to drive improvements
* Build, own and maintain data pipelines and data engineering solutions
* Develop and optimise ETL processes to improve performance and efficiency
* Support integration of data across internal and external systems
* Work closely with Data Management and Business Intelligence teams to improve data access and usability
* Collaborate with stakeholders to understand user needs and shape data solutions
* Apply data engineering approaches to solve complex business challenges
* Support the organisation’s wider vision for how data is used across IPO
* Contribute to building a high‑performing data engineering capability
What We’re Looking For
Strong experience with
* Azure Data Factory (ADF), Databricks, Python and other data tools
* Designing, coding, testing and documenting programs or scripts
* Data cleansing, preparation and transformation
Knowledge Of
* Designing scalable, future-proof data solutions
* Data platforms, pipelines and integration
Experience Of
* Delivering technical solutions as part of large or complex projectsWorking in Agile environments (e.g. Scrum)
* Applying DevOps principles in data engineering
* Using Azure DevOps or similar tooling
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