Own the technical data platform powering wetter.com’s weather and climate data products for B2B and B2C customers.
Develop and operate data products with the backend team, data scientists, and product owners (including public and private APIs, webhooks, ML training and prediction pipelines, and AI pipelines).
Participate in the full SDLC—from concept through prototyping to production.
Define, set up, and maintain CI/CD pipelines using modern cloud infrastructure.
Shape the evolution of our data and AI distribution architecture and evaluate the tools and technologies needed.
Degree in Computer Science, Engineering, Data Science, or equivalent.
2–3+ years of experience setting up and operating infrastructure and pipelines on AWS.
Strong Python skills; hands-on experience with AWS Serverless.
Familiar with Spark, Terraform, and Databricks.
Interest in API design, developer experience (developer portals, webhooks), and shipping data-driven products to external customers; ideally with hands-on
Experience with AI/LLM frameworks and applying AI to build faster and smarter.
Excellent problem-solving skills; able to work independently and in a team.
Motivated to take ownership, share knowledge, and experiment with new approaches.
Ownership of your projects with freedom to develop and implement ideas.
A culture defined by team spirit, open communication, flat hierarchies, and quick decisions.
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About the role

Senior Data Platform Engineer

Your profile:

Own the technical data platform powering wetter.com’s weather and climate data products for B2B and B2C customers.
Develop and operate data products with the backend team, data scientists, and product owners (including public and private APIs, webhooks, ML training and prediction pipelines, and AI pipelines).
Participate in the full SDLC—from concept through prototyping to production.
Define, set up, and maintain CI/CD pipelines using modern cloud infrastructure.
Shape the evolution of our data and AI distribution architecture and evaluate the tools and technologies needed.
Degree in Computer Science, Engineering, Data Science, or equivalent.
2–3+ years of experience setting up and operating infrastructure and pipelines on AWS.
Strong Python skills; hands-on experience with AWS Serverless.
Familiar with Spark, Terraform, and Databricks.
Interest in API design, developer experience (developer portals, webhooks), and shipping data-driven products to external customers; ideally with hands-on
Experience with AI/LLM frameworks and applying AI to build faster and smarter.
Excellent problem-solving skills; able to work independently and in a team.
Motivated to take ownership, share knowledge, and experiment with new approaches.
Ownership of your projects with freedom to develop and implement ideas.
A culture defined by team spirit, open communication, flat hierarchies, and quick decisions.
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