Software Engineer, Data
Tasks
- Build and maintain data ingestion pipelines
- Build internal libraries and services for data access
- Collaborate with engineering teams to deliver solutions
- Contribute to architecture discussions and technical decisions
- Design and optimize data platforms
- Design develop maintain scalable backend services and APIs
- Develop orchestration workflows and automated data processing pipelines
- Develop reusable frameworks and tooling
- Improve reliability scalability observability and cost efficiency
- Integrate data across systems
- Monitor troubleshoot and optimize production systems and data pipelines
- Simplify systems improve automation reduce operational overhead
Perks/Benefits
- Annual holiday
- Fitness membership subsidy
- International work culture
- Language course subsidy
- Private pension contribution
- Public holidays
- Public transport subsidy
Skills/Tech-stack
AWS | CI/CD | Data Ingestion | Data Lake | Data Pipelines | Data Processing | Data Quality | Docker | FastAPI | Infrastructure as Code | Kafka | Linux | Message Queue | Metadata catalog | Microservices | Observability | Python | RESTful API | SQL | Testing | “as-code”
Education
N/A
Roles
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