Senior Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and
• Own end to end data engineering projects from ingestion through to analytics enablement.
• Develop and optimise reliable SQL based data models.
• Help build a stronger staging and testing environment for data changes before production.
• Improve monitoring, alerting, and data quality across key pipelines.
• Contribute to CDC and lower latency data movement initiatives.

🎯 Requirements

• Has strong data engineering experience and can operate at senior individual contributor level.
• Brings strong software engineering foundations and production-grade engineering habits.
• Is highly capable with Python and SQL in real data engineering environments.
• Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar.
• Understands data modelling principles and can apply them pragmatically.
• Cares about testing, monitoring, alerting, and data quality.

🎁 Benefits

• Private health insurance with zero excess, including optical cover and optional dental.
• Income protection to protect your earnings and give you peace of mind.
• Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days
• Flexible working and a fully supported home office setup so you can do your best work from home.
• Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
• Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.