Senior Data Platform Engineer, Intelligent Platforms (all genders)Active
The opportunity
At HelloFresh, data is at the heart of everything we do — from the moment a customer places an order to the way we forecast demand, optimize our supply chain, and personalize experiences for millions of people. Making that data fast, reliable, and available is what our Data Platform makes possible.
What you'll do
Build and run our streaming and messaging platform. Own the systems that move: data in real time and at scale — Kafka, Kafka Connect, Flink, and SQS — and keep them fast, resilient, and easy to build on.
Drive efficiency. Identify and act on opportunities to reduce the cost and: complexity of the platform, and make efficiency a default rather than an afterthought.
Own the reliability of critical data paths. Keep the systems at the heart of: the platform highly available, and continuously improve their resilience, observability, and operational maturity.
Enable self-service for operational data stores. Build and maintain the: Terraform modules and tooling that let engineering teams use the right database for their use case within minutes, with governance and cost guardrails out of the box.
Build AI-powered self-service. Develop tooling: including AI and agent-based capabilities — that lets teams operate and maintain their own data infrastructure, so the platform runs without us in the loop.
Raise the bar on data quality for operational data, including data quality: checks on Kafka, so downstream analytics can trust the data from the moment it's created.
What they're looking for
- Collaborate across the platform. Work closely with the Analytical Data team: so high-quality operational data flows seamlessly into the analytics platform through clean, well-defined handover points.
- Operate what you build. Participate in on-call rotations for the systems you: own, and invest in automation so the platform runs without a human in the loop.
