Senior Data Platform Engineer, Intelligent Platforms (all genders)

Free resume; Berlin; Hybrid; EUR 72,000 - 89,000; Full time

Benefits offered by this job

HelloFresh pension scheme

HelloFresh box savings

Corporate benefits

Headspace and Spill access

Gym and Urban Sports Club

Flexible hybrid model

Sabbatical options

HelloFresh Academy learning budget

In-office meals

Parent-friendly policies and babysitt

Job summary

HelloFresh is seeking a Senior Data Platform Engineer to join the Operational Data Platform team. You will build streaming, messaging, and self-service tooling to deliver high-quality, governed operational data for analytics.

This is hands-on work owning critical infra, defining the golden path, and enabling engineers across the company to store and stream data reliably with governance and cost control.

Qualifications

• Hands-on data/platform engineer with scale data infra experience.
• Strong backend fundamentals in Go, Java, Scala, or Python.
• Deep experience with event streaming systems (Kafka) in production.
• Understanding of relational and NoSQL databases (PostgreSQL, MongoDB, DynamoDB).
• Experience building infrastructure on AWS with Terraform, containers, and Kubernetes.
• Ownership mindset, reliability, and collaboration.
• On-call experience and automation focus.

Responsibilities

• Build and run streaming and messaging platform (Kafka, Kafka Connect, Flink, SQS).
• Drive efficiency to reduce platform cost and complexity.
• Own reliability of critical data paths with high availability and observability.
• Enable self-service for data stores via Terraform modules.
• Build AI-powered self-service tooling for data infra.
• Raise data quality checks for Kafka and downstream trust.
• Collaborate with Analytical Data team on handover to analytics platform.
• Participate in on-call rotations and automate operations.

Skills

Backend languages

Kafka & streaming

AWS & Terraform

Kubernetes

Databases

On-call experience

Communication

Education

Bachelor's degree in CS or related

Tools

Go

Java

Scala

Python

Kafka

Flink

Terraform

Kubernetes

PostgreSQL

MongoDB

DynamoDB

AWS

Job description

Job Description

About the role

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.

We are looking for a Senior Data Platform Engineer to join our Operational Data Platform team — the squad that ensures operational data is created, delivered, and shared downstream reliably, cost-efficiently, and with the quality guarantees that everything downstream depends on — so the analytics layer receives quality data, ready to be turned into governed assets. You will build the streaming, messaging, and self-service provisioning systems that hundreds of backend and data engineers rely on every day.

This is a hands-on engineering role at the core of our platform. You'll own critical infrastructure, drive efficiency, and help define the "golden path" that makes it effortless for engineers across the company to store and stream their data — with governance and cost control built in from the start.

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.
• 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.

What you'll bring

• Hands-on experience as a data, software, or platform engineer, with a track record of building and operating production data infrastructure at scale.
• Strong software engineering fundamentals and proficiency in a backend language (e.g., Go, Java, Scala, or Python).
• Deep experience with event streaming and messaging systems — Kafka in particular — including their operational characteristics in production.
• A solid understanding of databases (relational and NoSQL — e.g. PostgreSQL, MongoDB, DynamoDB) and the trade-offs between them.
• Experience building infrastructure on AWS with infrastructure-as-code (Terraform), containers, and Kubernetes.
• A strong ownership mindset — you care about reliability, efficiency, and the developer experience of the teams you serve.
• Comfort with on-call responsibilities and a bias toward automating away toil.
• Excellent communication skills and the ability to collaborate across engineering teams to design seamless, composable services.

Nice to have

• Experience with Flink, stream processing, Kafka Connect.
• Familiarity with data lake architectures.

What we offer

Compensation & Financial Wellbeing

• You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.
• Enjoy savings on your weekly HelloFresh box.
• Save with discount schemes with corporate benefits and Vorteile.
• Support your mental wellbeing with access to platforms like Headspace and Spill.
• Stay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbeing resources.

Flexibility & Work-Life

• Balance your life with our flexible hybrid model.
• Recharge with sabbatical leave options in addition to standard time off.
• Get to work with ease through sustainable travel perks and transportation benefits.
• Embrace "Learning Never Stops" with internal training, the HelloFresh Academy, and a dedicated budget for German language courses.
• Enjoy tasty in‑office meal deals and fresh food options.
• We support working families with parent‑friendly policies, an in‑office kids corner, and an on‑site babysitter.

Remote full-time en 80,000–100,000 USD/yr