About AccelerantAccelerant 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
www.accelerant.ai.Job DescriptionAt 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 ResponsibilitiesAnalyse and ingest new datasets from varied sourcesDesign, build, and support cloud infrastructureDesign, build, and support AI and ML processes and infrastructureDesign and build modern, metadata driven data pipelines and data streamsDesign and build data service APIsTransform and cleanse complex datasetsAnalyse current business practices, processes and proceduresImplement effective metrics and monitoring processesA commitment to learning and sharing knowledgeRequired Skills/Experience 2 or more years’ experience working as a Data EngineerExperience of developing in AWSSnowflakeSQLPythonExperience with DataOps methodologies, tools, and processes.Desirable SkillsdbtExperience handling structured and unstructured datasetsExperience in AI and Machine LearningExperienced in real-time and batch mode data ingestionExperience in Data Warehouse developmentGeneral P&C Insurance business knowledge
7 days ago