Senior Data Engineer
Tasks
- Collaborate with stakeholders to translate requirements
- Design data pipelines
- Develop data engineering scripts in SQL and Python
- Develop data quality checks and monitoring
- Document data engineering solutions
- Ensure data reliability accessibility and format
- Implement data stores and APIs
- Integrate data with applications
- Mentor colleagues on problem solving and deliverable quality
- Optimize data pipeline and API performance
- Prototype and productize data solutions
Perks/Benefits
- Annual leave
- Cycle to work scheme
- Flexible working
- Hybrid working
- Learning and development opportunities
- Pension scheme
- Performance bonus
- Private dental coverage
- Private medical coverage
- Season ticket loan
- Travel subsidy
- Volunteer leave
Skills/Tech-stack
API Development | AWS | Airflow | Azure | Azure DevOps | Azure DevOps Repos | Data Modeling | Data Monitoring | Data Pipelines | Data Quality | Databricks | Fabric | FastAPI | GCP | Git | GitHub | Microsoft SQL | Microsoft SQL Server | Performance Tuning | PostgreSQL | Power BI | Python | Query Optimization | REST APIs | SQL | SQL Server
Education
Roles
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