Data Engineer – Paddington / Hybrid
This is a project-based transformation role that is currently expected to end on 31st December 2026.
London-based with hybrid flexibility |
Help build the future of pet care at Mars
We’re looking for a
skilled Data Engineer
to join our Pet Nutrition Digital team. You'll help us build a scalable, data-driven ecosystem that powers innovation across some of the world’s best-loved brands — and improves life for pets and pet owners everywhere.
Join us on a multi-year digital transformation journey where your work will unlock real impact.
What you'll do
Build robust data pipelines using Python, PySpark, and cloud-native tools
Engineer scalable data models with Databricks, Delta Lake, and Azure tech
Collaborate with analysts, scientists, and fellow engineers to deliver insights
Drive agile DevOps practices and continuous improvement
Stay curious, keep learning, and help shape our digital platforms
What we’re looking for
Proven experience as a Data Engineer in cloud environments (Azure ideal)
Proficiency in Python, SQL, Spark, Databricks
Familiarity with Hadoop, NoSQL, Delta Lake
Bonus: Azure Functions, Logic Apps, Django, CI/CD tools
What you’ll get from Mars
A competitive salary & bonus
Hybrid working with flexibility built in
Access to Mars University for world-class learning
A purpose-driven culture:
The world we want tomorrow starts with how we do business today
A commitment to inclusion:
We’re happy to discuss adjustments to support you throughout the recruitment process
Disclaimer:
Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request
