- Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
- Own data engineering projects from ingestion through analytics enablement.
- Develop and optimise reliable SQL-based data models.
- Improve staging and testing environments for data changes before production.
- Improve monitoring, alerting, and data quality across key pipelines.
- Contribute to CDC and lower-latency data movement initiatives.
- Work with Product, Analytics, Engineering, and business stakeholders.
- Participate in code reviews and help raise engineering standards.
- Pair with other engineers and support junior team members as the team grows.
AWSPythonSQL+5 more