Data Engineer

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .

At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team.

As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems.

In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization.

• Analyse and ingest new datasets from varied sources
• Design, build, and support cloud infrastructure
• Design, build, and support AI and ML processes and infrastructure
• Design and build modern, metadata driven data pipelines and data streams
• Design and build data service APIs
• Transform and cleanse complex datasets
• Analyse current business practices, processes and procedures
• Implement effective metrics and monitoring processes
• A commitment to learning and sharing knowledge

• 2 or more years’ experience working as a Data Engineer
• Experience of developing in AWS
• Snowflake
• SQL
• Python
• Experience with DataOps methodologies, tools, and processes.

• dbt
• Experience handling structured and unstructured datasets
• Experience in AI and Machine Learning
• Experienced in real-time and batch mode data ingestion
• Experience in Data Warehouse development
• General P&C Insurance business knowledge

Originally posted on Himalayas