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Data Engineer
About the Role
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Founded in 2018, Accelerant was established by long-time insurance industry executives and technology experts, who envisioned a more efficient, collaborative risk exchange system.
Led by an AM Best A- (Excellent)-rated insurance team, Accelerant operates across more than 20 countries and 250+ specialty insurance products, integrating technology with insurance expertise to transform risk management for the better.
Key Responsibilities
- Design and build high-performance, data-driven applications to support live operational frontends
- Collaborate with full-stack teams, including backend and frontend engineers, to deliver integrated solutions
- Apply software development best practices to data engineering workflows, ensuring:
- High test coverage
- Clean development design patterns
- Robust CI/CD pipelines
- Leverage AI tools effectively while maintaining ownership of technical correctness and system design
- Implement scalable metrics and monitoring systems to measure performance and debug issues efficiently
- Cultivate a learning-driven culture through knowledge-sharing, mentoring, and upskilling
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Requirements
Required Skills/Experience
- 3+ years of full-time experience writing production-grade code as a Data Engineer or Backend Engineer, with Python as the primary language
- Proven ability to ship tested, peer-reviewed code:
- Proficient in debugging, logical reasoning, and handling edge cases
- Strong sense of code ownership and correctness
- Intermediate to advanced familiarity with:
- Data processing libraries (e.g., Apache Spark, Pandas)
- Data engineering best practices
- Hands-on experience with:
- Database administration concepts
- SQL queries and optimisation (intermediate to advanced skill level)
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- Experience with DataOps, including tools, methodologies, and deployment pipelines
Desirable Skills/Experience
-
Expertise in Snowflake for data warehousing and querying
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Familiarity with DBT (Data Build Tool) for transformation and model development
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Experience with AI/ML systems, including:
- LLMs (Large Language Models)
- AI agents or autonomous systems
- Knowledge-based workspace tools
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Experience architecting or implementing:
- RESTful APIs
- Event-driven microservices
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Professional background in data warehouse development or database administration (DBA)
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Basic to intermediate knowledge of Property & Casualty (P&C) insurance workflows and industry jargon
Working Details
- Remote flexibility: UK or US/Eastern Canada-based candidate pool preferred
- Validations required: Right-to-work eligibility for the respective location
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