hellofresh

Senior Data Engineer, Analytical Data Platform, Inteligent Platforms (all genders)

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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 Data Platform team of 7 — the squad responsible for the infrastructure that powers our entire data ecosystem. You'll own the compute, orchestration, and storage systems that data and analytics teams depend on every day, and lead the evolution of our platform toward a more governed, scalable, and cloud-native architecture.

This is a hands-on engineering role at the core of our platform. You'll drive our migration to Databricks Unity Catalog and Terraform-managed workspaces, sunset legacy systems, and help define the patterns that make it easy for teams across the company to build and run data workloads reliably and cost-efficiently.

What you'll do

Lead our Databricks Unity Catalog migration. Own the transition from legacy Databricks workspaces to Unity Catalog and Terraformenabled workspaces — ensuring governance, lineage, and access control are built into the platform from the start.

Own our Kubernetesbased compute platform. Manage the Kubernetes infrastructure that provides compute for Spark and Airflow jobs, keeping it reliable, efficient, and easy to build on.

Build and maintain infrastructureascode. Own our Terraform modules and GitHub Actions pipelines, and set the standard for how infrastructure is provisioned and managed across the platform.

Ensure platform reliability and observability. Keep critical data paths highly available, improve operational maturity, and invest in automation so the platform runs with minimal manual intervention.

Collaborate across the data org. Partner with data engineering and analytics teams to ensure clean handover points and that platform changes enable rather than block downstream work.

What you'll bring

 Strong Python and Terraform skills, with a track record of building and operating production data infrastructure  SQL knowledge is a plus

 Hands-on experience with Databricks — Unity Catalog experience is a strong plus.

 Deep familiarity with Spark and distributed compute.

 Experience orchestrating workflows with Airflow in production environments.

 Proficiency with AWS infrastructure.

 Experience managing Kubernetes clusters for data workloads.

 A strong ownership mindset — you care about reliability, efficiency, and the developer experience of the teams you serve.

Nice to have

 Experience with Snowflake and large-scale data migrations.

 Familiarity with data lakehouse architectures.

 Prior experience contributing to internal developer platforms.

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.

Health & Wellbeing

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.

Career & Development

Embrace "Learning Never Stops" with internal training, the HelloFresh Academy, and a dedicated budget for German language courses.

Culture & Environment

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.

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Interview prep

Walk in with sharper answers.

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Mid
Technology & IT Data Analysis MySQL Python SQL Mid level full-time

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer, Analytical Data Platform, Inteligent Platforms (all genders) role.
  2. How would you approach your first 30 days at hellofresh?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer, Analytical Data Platform, Inteligent Platforms (all genders) role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes hellofresh needs from this hire.

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