Lead Data Engineer (m/f/d)
EUR 54K-63K (estimate) Senior-level Full Time
Tasks
- Act as technical proxy for planning sessions
- Conduct technical reviews
- Define data engineering standards
- Design and oversee data pipelines
- Enforce pipeline data quality
- Ingest, transform, and load data
- Monitor and resolve data issues
- Review code and improve code quality
- Support data governance and lineage
- Translate business requirements into technical solutions
Perks/Benefits
- Employee discounts
- Employee stock program
- Flexible working
- Healthcare
- Hybrid work
- Parental leave
- Pension
- Remote work days
Skills/Tech-stack
AWS Glue | Access Control | Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Purview | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud Dataflow | Clustering | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Management | Data Monitoring | Data Quality | Data Vault | Data profiling | Databricks | Docker | ELT | ETL | GitHub Actions | Google Cloud | Google Cloud Dataflow | Informatica IDMC | Informatica MDM | Infrastructure as Code | Kafka | Kubernetes | MDM | Master Data | Master Data Management | Metadata Management | Partitioning | PySpark | Python | Query Optimization | Reference Data | Reference Data Management | SAP MDG | SQL | Scala | Synapse Analytics | Terraform | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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