Data Platform Engineer

We are looking for a Platform Engineer to join the Batch Data Tools (Data Platform) team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway. Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API. As part of the Batch Data Tools team, you will own the components that make this a reality for batch processing. We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.

These are some of the key components to the position:

• Design, build, and continuously improve batch and data processing capabilities on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.

• Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.

• Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.

• Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.

• Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.

• Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.

• Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.

• Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.

• Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade software at scale.

• Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products is a strong advantage.

• Confidence in working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments is preferred. Knowledge of Golang would be an advantage.

• Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency is a strong advantage.