Our client, a leading player in the insurtech sector, is currently seeking Data Engineers of various levels to join their innovative Data team. You will be part of a collaborative group of data & AI engineers, data scientists, developers, analysts, and architects, building modern machine learning and AI services that enable analytics and improve products across the business.
This is an excellent opportunity for engineers who enjoy working on a modern cloud stack, building robust data products, and learning from a high-performing team.
Key Responsibilities:
- Build and support data products within a modern data platform
- Design and deliver solutions with engineering, science, and product teams
- Develop and optimise data pipelines across the analytics platform
- Integrate data from varied sources while maintaining strong data quality standards
- Maintain orchestration, monitoring, reliability, and performance of data components
- Improve engineering processes and raise best practice across the wider data community
- Promote high standards in coding, testing, documentation, and data practices
- Experiment with emerging data, ML, and AI technologies
- Partner with architects on data product and platform designs
- Work collaboratively in cross-functional agile squads
- Support ML and GenAI infrastructure and workflows
Job Requirements:
- Passion for building scalable, resilient cloud data platforms
- Strong experience with Databricks or Snowflake on AWS
- Proven Python skills, including Spark and Airflow expertise
- Advanced SQL and end-to-end data modelling experience
- Experience building batch and real-time data integrations
- Hands-on CI/CD skills with tools such as Git, Jenkins (or similar)
- Ability to ingest, cleanse, and structure large, diverse datasets
- Knowledge of Infrastructure as Code (e.g. Terraform)
- Nice to have: Docker, Kubernetes
- Bonus: exposure to production Generative AI use cases
- Strong collaboration skills and a proactive, delivery-focused attitude
Benefits:
A broad benefits package is offered, typically including:
- Flexible working within the UK (role-dependent), plus part-time/job-share options
- Enhanced annual leave with buy/sell options
- Health & wellbeing support (e.g., dental / cash plan options, screenings, wellbeing initiatives)
- Financial benefits (bonus schemes, pension, savings/loan options, employee discounts)
- Family-friendly policies (enhanced parental leave and return-to-work support)
- Lifestyle perks (tech discounts, travel schemes such as cycle-to-work / car schemes, breakdown cover, sports & social events)
If you are a Data Engineer looking for an exciting new role, we would love to hear from you. Apply now to become a part of our client's dynamic team in the insurtech sector.
