About the role
About Accelerant
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 .
Job Description
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.
Key Responsibilities
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
Required Skills/Experience
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.
Desirable Skills
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