Senior Data Engineer

Annapurna
London
1 month ago
Applications closed

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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 if this Data Engineering opportunity sounds like it could be the next step in your career!

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering, Information Technology, and Analyst

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