Data Engineer (m/f/d)
Tasks
- Automate checks and controls
- Build data pipelines
- Create automated data quality gates
- Define data transformation logic
- Design data pipelines
- Detect data quality anomalies
- Enforce referential integrity
- Enhance data observability
- Implement data governance standards
- Improve pipeline performance
- Improve pipeline reliability
- Ingest source systems into ODS
- Maintain data quality KPI dashboards
- Maintain pipeline metadata integrity
- Manage data lineage
- Monitor lineage automatically
- Optimize data pipelines
- Perform root cause analysis
- Support data quality remediation
- Transform Bronze Silver layer data
- Validate schema and data quality
Perks/Benefits
- Buddy program
- Company pension scheme
- Continuous learning
- Flexible remote and office work
- Inclusive culture
- International working environment
- Mentorship program
- Sports offers
- Well-being initiatives
Skills/Tech-stack
AWS | Airflow | Azure | Azure Data | Azure Data Factory | Azure DevOps | CI/CD | Cursor | Data Factory | Data Governance | Data Lineage | Data Quality | Data Store | Data Validation | Data Vault | Databricks | Databricks Workflows | Delta Lake | Dimensional Modeling | Docker | GitHub Actions | GitHub Copilot | GitLab CI | Infrastructure as Code | Metadata Management | Operational data | Operational data store | Prefect | PySpark | Python | Referential Integrity | SQL | Scala | Schema Enforcement | Snowflake Schema | Star Schema | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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