wetter.com GmbH

(Senior) Data Platform Engineer (m/w/d)

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

Standort

To strengthen our Tech Team at Berlin, Constance or Munich, we are at earliest opportunity looking for a (Senior) Data Platform Engineer (m/w/d).

Deine Aufgaben

You own the technical platform through which wetter.com delivers weather & climate data products to B2B & B2C customers

You develop and operate innovative products together with our backend team, data scientists, or product owners (e.g. public and private APIs, webhooks, ML training & prediction pipelines, AI pipelines)

You participate in full SDLC — from conception through prototyping to production

You define, set up, and maintain CI/CD pipelines using modern cloud infrastructure

You actively shape the evolution of our data and AI distribution architecture and evaluate necessary tools and technologies

Dein Profil

You have a degree in Computer Science, Engineering, Data Science, or an equivalent qualification

You have at least 2-3 years of experience in setting up and operating infrastructure and pipelines on AWS cloud

You have strong Python programming skills and hands-on experience with AWS Serverless

You are familiar with tools such as Spark, Terraform and Databricks

You have experience and/or strong interest in API design, developer experience (developer portal, webhooks) and shipping data-driven products to external customers – ideally with hands-on experience in Node.js/TypeScript

You already code and automate with AI, and you enjoy applying AI/LLM frameworks to build faster and smarter

You have excellent problem-solving skills with the ability to work both independently and as part of a team

You are motivated to take ownership, enjoy knowledge sharing and experimenting with new approaches

Deine Benefits

Ownership of your own projects, with the freedom to develop and implement your ideas and concepts

A corporate culture defined by team spirit, open communication, a dynamic atmosphere, flat hierarchies, and quick decision-making processes

Flexible hybrid working model, balancing home office and on-site presence

Informal and collaborative environment: no titles or strict dress codes, fostering a relaxed and approachable culture

A wide range of perks, social benefits, and employee services in a leading media company

Professional development and on-the-job training are key priorities for us

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Javascript Python Senior Data remote

Likely questions

  1. Tell us about work you have done that is close to the (Senior) Data Platform Engineer (m/w/d) role.
  2. How would you approach your first 30 days at wetter.com GmbH?
  3. Which of API integration, Javascript 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 stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Javascript 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 Platform Engineer (m/w/d) role because I can bring practical experience in API integration, Javascript and Python, learn the team quickly, and contribute to the outcomes wetter.com GmbH needs from this hire.

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