(Senior) Data Platform Engineer (m/w/d)
wetter.com GmbH · Konstanz
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
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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The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Data Engineer career changes, measuredevery measured route out
- Data Analyst → Data Engineer26% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 14 open data architect roles88% readiness from data engineer
- 13 open database administrator roles63% readiness from data engineer
- 151 open data analyst roles62% readiness from data engineer
- 250 open solutions architect roles58% readiness from data engineer
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