Data Engineer Python ETL SaaS
Summary
Data Engineer at a UK growth-focused insurtech, designing and building scalable ETL pipelines and data warehousing to support real-time insurance quotes. Works with Python on AWS (or Azure/GCP), shaping greenfield data infrastructure and collaborating across data science and engineering teams.
As a Data Engineer, you will design and build scalable data pipelines and warehousing to support real-time insurance quotes. You’ll bridge data science, analytics, and software engineering teams to translate requirements into robust data solutions. The role focuses on enabling fast, data-driven decisions and scaling data workflows for growth in the UK. You’ll work with a modern tech stack and have opportunities across multiple teams. This is a chance to shape greenfield data infrastructure at a growth-focused insurtech.
Pay / Benefits- Remote working
- Flexible working hours
- Nursery scheme
- Maternity package
- 25 days holiday + buy/sell 5 days
- Pension, Private Medical and Dental Insurance
- Design and build ETL pipelines and data warehousing solutions
- Collaborate with Data Scientists/Analysts and Software Engineers to translate requirements
- Work with real-time data to support fast insurance quotes
- Shape data architectures to enable business growth in the UK
- Contribute to greenfield systems and modern tech stack decisions
- Influence data governance and data quality practices where relevant
- Strong Data Engineering experience
- Strong Python coding skills
- Experience building ETL data pipelines
- Experience with AWS (or other cloud platforms: Azure, GCP)
- Experience in tech or SaaS companies
- Degree educated in Computer Science or similar
- Collaborative with good communication skills
- Nice to have: Databricks, Kafka, Data Governance (GRC)
- Collaborative
- Strong communication
- Team-oriented
- Python
- ETL
- AWS