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Statista

7 days ago

Engineering Manager - Data Platform (m/f/d)

Onsite · Hamburg or Berlin

awskuberneteskafkaterraform tech

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AI TL;DR

You will lead a team to develop a data platform that enables secure and efficient data sharing. This role involves managing technical delivery and collaborating with product management to enhance the platform's capabilities.

AI match

Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Engineering Manager - Data Platform (m/f/d) at Statista?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

You will lead a team to develop a data platform that enables secure and efficient data sharing. This role involves managing technical delivery and collaborating with product management to enhance the platform's capabilities.

Details

  • Hamburg or Berlin, work from office
  • At least five years of experience leading engineering teams
  • Skills required: AWS, Kubernetes, Kafka, Terraform

The work

  • Lead and grow a mixed team of DevOps, software, and data engineers
  • Run the platform as a product, ensuring easy data setup and clear documentation
  • Guide the use of access controls and data contracts for secure data sharing
  • Own reliable event streaming using Kafka