Data Engineer
EUR 33K-46K (estimate) Mid-level Full Time
Tasks
- Advise clients on data processing
- Build data ingestion pipelines
- Collaborate with data architects and IT teams
- Create data architecture schemas
- Define data governance policies
- Design REST API integrations
- Design data integration with legacy sources
- Design scalable data solutions
- Develop data models
- Develop prototypes and proof of concepts
- Ensure data reliability efficiency and quality
- Implement ETL processes
Perks/Benefits
- Accident insurance
- Employee diversity networks
- Flexible work hours
- Health insurance
- Life insurance
- Medical services
- Personalized training paths
- Profit sharing
- Sustainability programs
- Time off
- Wellness programs
Skills/Tech-stack
AWS | Apache Spark | Artificial Intelligence | Azure | CI/CD | Cloud platform | Data Architecture | Data Modeling | Deep learning | Git | Google Cloud | Google Cloud Platform | Graph Database | HDFS | Infrastructure as Code | Jira | MLOps | MLflow | Machine Learning | Neo4j | NoSQL | Palantir | Parquet | Prefect | PySpark | Python | R | REST API | SQL | Snowflake | TFX | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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