Senior Data Engineer
Tasks
- Advise clients on data engineering
- Build data pipelines
- Design data models
- Develop data lakes and warehouses
- Ingest and transform data
- Integrate siloed datasets
- Lead technical direction
- Query and report analytical data
- Solve complex data engineering challenges
- Support data science and machine learning pipelines
Perks/Benefits
- 25 days annual leave
- 30 days annual leave after each year
- Cycle to work scheme
- Discounted gym membership
- Employee-led clubs and events
- Employer pension scheme
- Generous family leave
- Group life assurance
- Performance feedback
- Private medical services
- Remote working flexibility
Skills/Tech-stack
AWS | Agile | Apache Spark | Azure | CI/CD | Cloud platform | Data Lakes | Data Modeling | Data Pipelines | Data Warehouses | Databricks | Google Cloud | Google Cloud Platform | JavaScript | Machine Learning | Power BI | PySpark | Python | SQL | Snowflake
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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