Data Engineer (Databricks / Snowflake)
Tasks
- Build AI enabled solutions on the data platform
- Build ingestion pipelines
- Contribute to engineering standards and delivery best practices
- Design data models
- Develop production data pipelines
- Implement LLM based processing in pipelines
- Maintain data lineage and governance
- Support testing monitoring troubleshooting documentation
- Translate business logic into pipeline logic
Perks/Benefits
- Annual leave
- Continuous learning budget
- Employee assistance programme
- Hybrid working
- Income protection
- Life assurance
- Pension scheme
- Private medical insurance
- Wellbeing support
Skills/Tech-stack
Amazon Web Services | Azure | Cloud platform | Data Governance | Data Lineage | Data Quality | Data Vault | Data Vault 2.0 | Databricks | DevOps | Dimensional Modeling | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Kimball | Language Models | Large Language Models | Machine Learning | Networking | Orchestration | PySpark | Python | SQL | Snowflake | Snowpark | Storage | Web Services | “as-code”
Education
N/A
Roles
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