Dein persönlicher KI-Karriere-Agent
Senior Software Engineer - Python Backend(m/w/x)
Building AI-native data tooling and an AI-first data platform. 7+ years software development experience required. No meeting days, annual learning budget.
Anforderungen
- 7+ years software development/data engineering experience
- Experience designing scalable systems
- Strong Python skills (clean design, typing, testing, maintainable code)
- Solid understanding of data engineering fundamentals
- Good SQL knowledge and database understanding
- Experience with modern Python data tools
- Clear written and verbal communication skills
- Team-first mindset, autonomy, and ownership
- Passion and curiosity for AI-assisted software development
- Based in Berlin, open to regular onsite work (3-4 days/week)
- Experience building developer-facing APIs, SDKs, or tooling
- Data Platform/Platform engineering or frontend engineering experience
- Hands-on experience with data platforms
- Contributions to open-source projects
- Bachelor's Degree
Aufgaben
- Own features end-to-end, from design to maintenance
- Design and plan features
- Implement features
- Write tests for features
- Document features
- Maintain and improve features
- Shape architecture and technical direction
- Contribute to engineering excellence
- Maintain high code quality standards
- Maintain high observability standards
- Maintain high scalability standards
- Maintain high security standards
- Turn user problems into solutions
- Design solutions integrating with modern data stacks
- Implement solutions integrating with modern data stacks
- Mentor teammates
- Mentor Open Source contributors
- Contribute to Open-Source Core
- Build features for Open-Source Core
- Engage with the Open Source community
- Review Pull Requests
- Collaborate with the Open Source community
- Sustain a culture of experimentation
- Keep up with Python ecosystem developments
- Keep up with AI-assisted development workflows
- Keep up with evolving data architectures
- Keep up with evolving data technologies
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- DuckDB
- Arrow
- Iceberg
- delta-rs
- Snowflake
- BigQuery
- Databricks
- Docker
- GitHub Actions
- Kubernetes
- AWS
- GCP
Benefits
Öffi Tickets
- Public transportation ticket coverage
Weiterbildungsangebote
- Annual learning and development budget
Gratis oder Vergünstigte Mahlzeiten
- Subsidized team lunches
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Attraktive Vergütung
- ESOP plan
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Senior Software Engineer - Python Backend(m/w/x)
Building AI-native data tooling and an AI-first data platform. 7+ years software development experience required. No meeting days, annual learning budget.
Anforderungen
- 7+ years software development/data engineering experience
- Experience designing scalable systems
- Strong Python skills (clean design, typing, testing, maintainable code)
- Solid understanding of data engineering fundamentals
- Good SQL knowledge and database understanding
- Experience with modern Python data tools
- Clear written and verbal communication skills
- Team-first mindset, autonomy, and ownership
- Passion and curiosity for AI-assisted software development
- Based in Berlin, open to regular onsite work (3-4 days/week)
- Experience building developer-facing APIs, SDKs, or tooling
- Data Platform/Platform engineering or frontend engineering experience
- Hands-on experience with data platforms
- Contributions to open-source projects
- Bachelor's Degree
Aufgaben
- Own features end-to-end, from design to maintenance
- Design and plan features
- Implement features
- Write tests for features
- Document features
- Maintain and improve features
- Shape architecture and technical direction
- Contribute to engineering excellence
- Maintain high code quality standards
- Maintain high observability standards
- Maintain high scalability standards
- Maintain high security standards
- Turn user problems into solutions
- Design solutions integrating with modern data stacks
- Implement solutions integrating with modern data stacks
- Mentor teammates
- Mentor Open Source contributors
- Contribute to Open-Source Core
- Build features for Open-Source Core
- Engage with the Open Source community
- Review Pull Requests
- Collaborate with the Open Source community
- Sustain a culture of experimentation
- Keep up with Python ecosystem developments
- Keep up with AI-assisted development workflows
- Keep up with evolving data architectures
- Keep up with evolving data technologies
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- DuckDB
- Arrow
- Iceberg
- delta-rs
- Snowflake
- BigQuery
- Databricks
- Docker
- GitHub Actions
- Kubernetes
- AWS
- GCP
Benefits
Öffi Tickets
- Public transportation ticket coverage
Weiterbildungsangebote
- Annual learning and development budget
Gratis oder Vergünstigte Mahlzeiten
- Subsidized team lunches
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Attraktive Vergütung
- ESOP plan
Über das Unternehmen
dltHub
Branche
IT
Beschreibung
dltHub builds AI-native data tooling on an open-source foundation, focusing on fast iteration, experimentation, and user-centric AI workflows.
Noch nicht perfekt?
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Vollzeitmit HomeofficeSeniorBerlin - Cresta
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