Senior Data Engineer
Lisbon, 11, PT, 1050-094
EUR 48K-58K (estimate) Senior-level Full Time
Tasks
- Build and optimize ETL ETL pipelines
- Create technical roadmaps and influence data strategy
- Define data quality rules and monitoring
- Design Lakehouse architecture
- Implement CI/CD for data pipelines
- Implement data governance and access control
- Implement incremental processing and CDC
- Implement ingestion from APIs and event streams
- Integrate Databricks with cloud services
- Lead data engineering teams and mentor engineers
- Manage Dev/Test/Prod environments
- Model curated datasets for BI analytics and ML
- Review designs and raise engineering standards
- Support ML workflows and feature engineering
Perks/Benefits
- Buddy program
- Comprehensive onboarding program
- English courses
- Flexible work schedule
- Food allowance
- Good public transport access
- Hybrid work
- Private medical care
Skills/Tech-stack
ADF | AWS Glue | Access Control | Agile | Amazon Redshift | Amazon S3 | Analysis Services | Apache Spark | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CDC | CI/CD | Cloud platform | DAX | Data Contracts | Data Factory | Data Lake Storage | Data Lineage | Data Quality | Databricks | Delta Lake | GitHub Actions | GitLab | Google Cloud | Google Cloud Platform | Incremental processing | Infrastructure as Code | Lakehouse | Partitioning | Power BI | Powershell | PySpark | Role-Based Access | Role-Based Access Control | SQL | SQL Database | Synapse Analytics | Tabular models | Terraform | Unity Catalog | Z-Order | Zordering | “as-code”
Education
Roles
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