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The Role
- Build and maintain scalable, production-grade data pipelines
- Own end-to-end data workflows from source to production
- Write and optimise advanced SQL transformations at scale
- Work with complex, imperfect, high-volume datasets
- Improve data quality, reliability, and performance
- Collaborate with product, analytics, and ML teams
- Contribute to engineering best practices
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What You'll Need
- Strong Python and advanced SQL in production environments
- Experience delivering end-to-end data engineering solutions
- Exposure to Spark, Snowflake, BigQuery or similar
- Cloud experience across AWS, GCP, or Azure
- Comfortable working with messy, large-scale datasets
- Strong ownership from design through to deployment
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What's On Offer
- Opportunity to shape data foundations behind AI products
- Work in a high-growth, modern engineering environment
- Central role where SQL expertise is highly valued
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Skills
Python
SQL
Data Pipeline Construction
Spark
Snowflake
BigQuery
AWS
GCP
Azure
Data Modeling
Data Quality
ETL
Location