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# Platform Engineer

- **Company:** Just Eat Takeaway.com
- **Location:** Amsterdam, Netherlands
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Batch Processing, Continuous Integration, Information Engineering, Data Infrastructure, Data Transformation, Machine Learning, Azure Machine Learning, Data Streaming, Data Storage Technologies, Cloud Platform System, Delivery Pipeline, Agentic-AI, Kubernetes, Pure Data
- **Published:** November 12, 2026
- **Apply:** https://startup.jobs/junior-platform-engineer-takeawaycom-central-core-bv--10752552

## About the Role

* You're comfortable working in other people's code bases, exploring new components - bonus points if you've worked in an innersource environment before
 * You're curious and communicative, you ask good questions and can explain what you're thinking clearly, even when you're still figuring it out
 * Some experience building on cloud-native platforms such as AWS, GCP or Azure. Exposure to Kubernetes is nice to have but not required.
 * An interest in developer experience and internal platforms, you've thought about what makes tools easy or frustrating to use, even if you haven't built one professionally.
 * Familiarity with GitOps and CI/CD systems and understand the principles of reliable, automated delivery pipelines.
 * Curiosity about data engineering concepts (streaming, batch processing, data storage systems). You don't need experience here; the desire to learn it matters more than having it already

## Description

We're setting up a new team focusing on the developer and agentic experience, as well as the enablement of a new Data and Machine Learning Platform within JET (Mobius). Within the past year we've built new Data & ML Platforms on AWS and now we want to double down on the experience of these. You'll work closely with Product and our Data & ML Platform teams to improve the user and agentic experience of our platforms, as well as upskilling and enabling new users of the platforms. This is a brand new team within our space, so we're looking for someone excited to contribute to the culture and vision of the team, as well as help shape the data mentality across our product and technology department.

Whilst this is a developer platform role for internal platforms, it also includes enabling users to use the data platform correctly through sharing knowledge of data transformation. Part of this role will include working with Product Engineering teams directly, as a practitioner who builds alongside them and transfers capability in the process. Deep Data Engineering knowledge is not required for this role, but you should be comfortable picking it up quickly and working alongside data engineers as a peer.

This isn't a pure platform engineering role and it isn't a pure data engineering role. It sits at the intersection of platform, experience, and enablement - and the best candidates will find that intersection exciting rather than uncomfortable. We also don't expect you to know everything on this list just yet, but a desire to learn and develop your skills is needed.

These are some of the key components to the position:

 * Contribute to the backlog, picking up improvements to onboarding tooling, documentation improvements, and the overall developer experience of our Data & ML Platforms
 * Support changes to the agentic interface layer, making the platform accessible to AI agents as first-class users
 * Pair with engineers on embed engagements, working directly alongside product engineering teams to deliver data engineering work
 * Participate in knowledge transfer sessions, learning how to help product engineers understand how to use the platform and why
 * Participate in shaping ways of working, engagement playbooks, and reusable patterns as the team matures
 * Learn from senior engineers across the team and the broader Data & ML Platform pillar, with a clear path to taking on more ownership as you grow