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DevOps & Infrastructure Headhunter, keen triathlete!
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
Key Skills
- 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
Please apply directly or get in touch at d.jeffery@annapurnarecruitment.com if this Data Engineering opportunity sounds like it could be the next step in your career!
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering, Information Technology, and Analyst
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