Senior Data Engineer

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Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are looking for a Senior Data Engineer to join the Batch 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 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. Location: Hybrid - 3 days a week from our Amsterdam office & 2 days working from home Reporting to: Senior Team Leader - Data Engineering These are some of the key components to the position: Design, build, and continuously improve batch and data processing pipelines 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. Champion data quality and governance by defining and maintaining data contracts, metadata, and lineage across the pipelines you own. 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. What will you bring to the team? Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade data pipelines at scale. Confident working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments. Knowledge of Golang is a strong advantage. Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products. Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency. Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures. Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners. Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow). Comfortable establishing monitoring, logging, and alerting for data pipelines to drive operational excellence and fast incident response. An appreciation for data governance - including metadata management and data contracts - as a foundation for responsible, trustworthy data products. A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar. At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalt

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