Lead Data Engineer (w/m/d) – infas 360
Bonn, Nordrhein-Westfalen, Germany
EUR 53K-56K (estimate) Senior-level Full Time
Tasks
- Apply data modeling and data management best practices
- Build DataOps solutions for data integrity and transparency
- Build data infrastructure on Google Cloud Platform
- Collaborate with cross-functional teams to deliver data products
- Design data architecture
- Develop and optimize data pipelines
- Ensure data availability and data quality
- Implement monitoring and error handling
- Implement tests and alerts with DataKitchen
- Migrate PostgreSQL on premises to BigQuery
- Orchestrate workflows with Airflow
- Process and analyze geospatial data with Spatial SQL
Perks/Benefits
- Company pension scheme
- Flexible working
- International projects
- Mobile work
- Modern technology
- Professional feedback culture
- Professional growth opportunities
- Training opportunities
Skills/Tech-stack
Airflow | BigQuery | CI/CD | Cloud platform | DBT | Data Observability | Data Quality | Data Quality Testing | DataKitchen | ELT | ETL | Geo-data | Geographic Information Systems | Git | GitHub | GitLab | Google Cloud | Google Cloud Platform | Information Systems | Infrastructure as Code | NumPy | OGC SQL | Pandas | Pandera | PostGIS | PostgreSQL | PySpark | Pytest | Python | Quality testing | SQL | Spatial SQL | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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