Related skills
looker aws postgresql python dbtπ Description
- Evolve data pipelines to scale with more clients
- Design, build, and maintain ETL/ELT using Fivetran, dbt, AWS
- Collaborate with cloud and engineering teams for AI/LLM on data lake
- Integrate data from multiple systems into analytics layer
- Partner with stakeholders to deliver usable data models
- Ensure data quality, reliability, and performance of warehouse
π― Requirements
- Strong interest in data engineering and real-world data use
- Experience transforming data for product, ops, and leadership
- Approximately 2-4 years in data/analytics engineering
- Hands-on Python, PostgreSQL, and Amazon Redshift
- Experience with AWS, dbt, and ELT tools
- Comfortable adopting new data tech as stack evolves
- Experience pulling data for Looker and LLM interfaces
π Benefits
- Share options as part of package
- 25 days PTO + holidays
- 3 volunteer days
- Private health insurance
- Aviva pension scheme
- Work from home stipends
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