Data Engineer (m/f/d)
Tasks
- Automate checks and controls
- Build data pipelines
- Conduct root cause analysis
- Design data pipelines
- Detect data quality anomalies
- Enforce schema checks
- Implement data governance standards
- Implement data quality validation
- Improve pipeline observability
- Improve pipeline reliability
- Ingest data into ODS
- Log failures and events
- Maintain data quality KPI dashboards
- Maintain lineage governance
- Maintain metadata integrity
- Monitor automated lineage
- Monitor data quality gates
- Optimize data pipelines
- Perform referential integrity checks
- Support remediation for data issues
- Transform bronze silver data layers
Perks/Benefits
- Buddy program
- Company pension scheme
- Continuous learning opportunities
- Local benefits
- Mentorship program
- Remote and office flexible work
- Sports offers
- Well-being initiatives
Skills/Tech-stack
Apache Airflow | Azure Data | Azure Data Factory | Azure DevOps | CI/CD | Data Factory | Data Governance | Data Lineage | Data Quality | Data Store | Data Vault | Databricks | Databricks Workflows | Delta Lake | Dimensional Modeling | Docker | GitHub Actions | GitLab CI | MDM | Operational data | Operational data store | Prefect | PySpark | Python | SQL | SQL validation | Scala | Snowflake Schema | Star Schema | Terraform | Unity Catalog
Education
N/A
Roles
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