Data Engineer
Tasks
- Collaborate with data scientists and software engineers
- Design data pipelines
- Develop data catalogs
- Enable advanced analytics datasets
- Implement ETL processes
- Implement data governance frameworks
- Improve scalability and resilience
- Maintain data quality monitoring
- Manage data lakes and data warehouses
- Manage streaming platforms
- Monitor and optimize data workflows
- Optimize storage for performance and cost
- Prepare and curate datasets for machine learning
- Present technical data solutions
- Support data-driven strategy
- Track and adopt data engineering best practices
Perks/Benefits
- Bring your own device compensation
- Company vehicle
- Eco vouchers
- Extra vacation days
- Family insurance additions
- Flexible work hours
- Group insurance
- Health insurance
- Healthy work-life balance
- Laptop
- Meal vouchers
- Mobility budget
- Seniority days
- Telework options
- Training opportunities
Skills/Tech-stack
AWS Glue | Amazon Athena | Amazon RDS | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Kafka | Apache Spark | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Event | Azure Event Hubs | CI/CD | Cloud Dataflow | Cosmos DB | DBT | Dagster | Data Factory | Data Lake Storage | DataOps | Databricks | Docker | DuckDB | Event Hubs | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Dataflow | Kubernetes | MLOps | Microsoft Azure | Microsoft Fabric | Power BI | Prefect | Python | SQL | Snowflake | Tableau | Terraform
Education
Roles
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