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Please note that the position is only available to applicants from Germany.
The language requirements for this position are: English - Fluent.

This is a software engineering role focused on data systems and infrastructure. You'll build scalable services for processing geospatial data pipelines, deploy them in the cloud and make them queryable in milliseconds. You'll write production-quality code and solve interesting problems at the intersection of software engineering and data.

Activities

• Build cloud-native infrastructure for scalable execution of geospatial data pipelines
• Develop and maintain internal tools and ETL processes that keep our platform data fresh and accurate
• Support the data team in new approaches to data sourcing and processing, including AI/ML capabilities
• Collaborate with the product team to integrate data in formats optimized for application performance
• Share your work with the team and incorporate feedback

Requirements

·      Strong software engineering skills in Python: you write clean, tested, maintainable code

·      3+ years experience building data pipelines and backend systems on production

·      Solid understanding of databases

·      Hands-on experience with cloud services (we use AWS)

·      Ability to work autonomously and learn quickly

·      Clear communication skills in English (our team is international)

Application Process

1. Intro call

2. Small assignement

3. Interview with team

About the Company

dvlp.energy is the leading geoinformation system in Germany for identifying and assessing sites for wind, solar, battery and datacenter development. dvlp.energy is used by over 200 of the leading energy companies in Germany including RWE, Trianel, Axpo and many more.

We are a team of 20 professionals with a strong foxus on data science and web-app development. Our headquarter is in Berlin Mitte.