Oxford | Hybrid | Build the Future of Data & Knowledge Graphs
Looking for a Senior Data Engineering role that’s genuinely different?
Our client is building cutting‑edge data and knowledge systems that help organisations navigate complexity, make smarter decisions, and create meaningful change.
They’re now looking for a Senior Data Engineer to take ownership of a business‑critical data pipeline at the heart of their delivery platform.
What You’ll Be Doing
* Designing and scaling end-to-end ETL/ELT pipelines
* Working with complex structured data and knowledge graph technologies
* Improving data quality, validation, and automation processes
* Collaborating closely with consultants, developers, and project teams
* Helping shape the future of the company’s data capability
Tech You’ll Work With
* Python
* Airflow
* Git & GitHub
* RDF / SPARQL / Semantic Web technologies
* Cloud and modern data tooling
What They’re Looking For
* Strong experience building scalable data pipelines
* Python and workflow orchestration experience
* Someone curious, collaborative, and technically driven
* A problem-solver who enjoys ownership and improving systems
Experience with knowledge graphs or semantic web technologies is a bonus - but mindset, curiosity, and strong engineering fundamentals matter most.
Why This Role Stands Out
* Own a central part of the company’s data platform
* Work on genuinely interesting, meaningful technical challenges
* Hybrid flexibility with a collaborative Oxford‑based team
* Stable, established business with exciting long‑term growth
* Great benefits, modern tooling, and real autonomy
If you’re excited by the idea of building scalable data systems in an environment where innovation and quality genuinely matter, we’d love to hear from you.
Apply now - this is not your standard Senior Data Engineer role.
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