Senior Data Engineer

This is a senior-level opportunity for an experienced Data Engineer who is not only technically hands-on but also eager to shape the core data strategy of a fast-moving InsurTech company. You’ll play a pivotal role in designing and developing robust, scalable data pipelines, AI/ML workflows, and APIs that feed data into every part of the business-from underwriter tools to financial systems.

You’ll work in a modern, fully cloud-based stack (AWS, Snowflake, Python, SQL), with strong opportunities to influence architecture, automation, and data product direction across the company.

What you’ll be doing

• Design, build, and maintain robust, cloud-native data infrastructure and pipelines
• Develop and manage metadata-driven data ingestion and transformation processes
• Support AI and ML infrastructure in partnership with Data Science teams
• Build APIs and data services to enable self-serve analytics and platform integrations
• Optimise data warehouse performance and reliability (Snowflake)
• Monitor data quality, pipeline health, and system observability
• Partner with cross-functional teams to understand evolving data needs
• Take ownership of key components and advocate for engineering best practices
• Mentor junior engineers and contribute to a culture of learning and technical excellence

• 5+ years of experience in data engineering, ideally in a fast-paced product or platform environment
• Strong experience with AWS cloud services and infrastructure as code
• Proficiency in SQL, Python, and Snowflake
• Experience building data pipelines (batch & streaming), APIs, and ML/AI infrastructure
• Familiarity with DataOps practices, CI/CD pipelines, and modern orchestration tools
• Strong understanding of data quality, schema evolution, and monitoring in production environments
• A pragmatic mindset: you value speed and scalability but know where to invest for the long term