Data Engineer

📋 Description

• Take ownership of end-to-end data engineering projects.
• Design, build, maintain, and optimize scalable data pipelines using Dagster, Python, and Snowflake.
• Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase.
• Ensure high standards of data quality through extensive unit testing, integration testing and data monitoring.
• Design and develop complex data models aligned with industry best practices.
• Stay up-to-date with industry trends and emerging technologies.

🎯 Requirements

• 3+ years of experience in a similar role, with a track record of autonomous work and impact.
• Strong expertise in Python and SQL (Snowflake preferred).
• Experience using monitoring and alerting tools.
• Deep understanding of engineering best practices (e.g. unit testing, writing DRY code).
• Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect).
• Proficiency with dbt.

🎁 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 annually after five years.
• 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.