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What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Expert SQL and data modelling with modular analytics-ready models
- BigQuery preferred with transferable experience in Snowflake Redshift or Postgres
- Cloud and pipeline fluency in GCP including BigQuery IAM GCS and CLI
- Experience managing end-to-end ELT pipelines using Fivetran Airbyte or dbt
- Python scripting for automation and data quality checks
- Familiarity with AI assistants and prompt engineering
- Clear structured communication and strong documentation skills
- Self-directed able to work from ambiguous brief to production output
Nice to have
- Client-facing
- Commercially minded
- Detail-oriented
- Self-directed
- Proactive
Day to day
- Own the build, deployment, and ongoing operation of a managed data platform across multiple client brands
- Deploy cloud data infrastructure and maintain end-to-end ELT pipelines from source connection through to analytics-ready outputs
- Build multi-layer SQL models and AI-integrated workflows that power accurate reporting, commercial analysis, and client-facing insights