Senior Data Engineer (Databricks / Snowflake)
Tasks
- Build AI powered business solutions on data platforms
- Build ingestion pipelines for secure data movement
- Build production pipelines and meet SLAs
- Design Data Vault 2.0 and dimensional data models
- Integrate LLM based processing for document parsing entity extraction and classification
- Lead and mentor junior engineers on delivery workstreams
- Support pre sales by sizing effort and presenting technical approaches
- Translate business logic into pipeline logic
Perks/Benefits
- Access to Industry Conferences
- Annual leave
- Continuous learning budget
- Employee assistance programme
- Hybrid working
- Income protection
- Life assurance
- Pension scheme
- Private medical insurance
- Training programmes
- Wellbeing support
Skills/Tech-stack
AI | AWS | Azure | Cortex | DBT | Data Classification | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Databricks | DevOps | Dimensional Modelling | Document parsing | ELT | Entity Extraction | GCP | IAM | IPaaS | Infrastructure as Code | Kimball | LLM | Mosaic AI | Networking | Orchestration | PySpark | Python | SQL | Snowflake | Snowpark | Storage | Unstructured Data | Unstructured Data Classification | “as-code”
Education
N/A
Roles
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