Senior Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines.
• Own end-to-end data projects from ingestion to analytics.
• Develop and optimize SQL-based data models.
• Build stronger staging and testing environments for data changes.
• Improve monitoring, alerting, and data quality across pipelines.
• Collaborate with Product, Analytics, Eng, and stakeholders.

🎯 Requirements

• Strong data engineering experience; senior individual contributor.
• Proficient with Python and SQL in production data environments.
• Experience with Snowflake, dbt, Dagster, Airflow, AWS, or similar.
• Understanding of data modeling principles and pragmatics.
• Focus on testing, monitoring, data quality, and reliability.
• Excellent communication with technical and non-technical stakeholders.

🎁 Benefits

• Private health insurance with zero excess.
• Income protection to safeguard earnings.
• Tenure holiday policy; up to 30 days after five years.
• Flexible working and a fully supported home office setup.
• Nursery salary sacrifice scheme for parents.
• Salary sacrifice schemes for tech and holidays.