Data Engineer (Madrid based)
Tasks
- Acquire and process enterprise data
- Apply security best practices
- Build data pipelines
- Deliver reliable data pipelines
- Design data pipelines
- Design data platform architecture
- Develop data processing frameworks
- Extract value from datasets
- Implement automation
- Implement data strategy
- Implement data systems
- Improve data observability
- Improve data quality
- Manage data pipelines operations
- Monitor data pipelines
- Process data with lakehouse
- Set up continuous integration continuous delivery
- Use version control
- Write and run tests
Perks/Benefits
- Flexible work arrangements
- Free learning resources
- Generous paid time off
- Gym or fitness allowance
- Hybrid work
- Language classes
- Private health insurance
- Referral bonuses
- Training budget
- Volunteer day
- Wellness program
- Work-life balance
Skills/Tech-stack
Apache Airflow | CloudFormation | Continuous Delivery | Continuous integration | DBT | Data Observability | Data Quality | Data orchestration | Database Design | Databricks | Databricks Lakeflow | Fine Tuning | Infrastructure as Code | LLM | LLM Fine-tuning | Looker | Machine Learning | Power BI | Python | Relational Database | Relational Database Design | SQL | Security | Spark | Tableau | Terraform | Testing | Version control | “as-code”
Education
N/A
Roles
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