Accelerant
201 - 500 employees
Founded 2018
☁️ SaaS
🤝 B2B
💰 $150M Private Equity Round - Accelerant on 2023-06
SaaS • B2B
Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.
Data Engineer
🕒 February 27
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Accelerant
201 - 500 employees
Founded 2018
☁️ SaaS
🤝 B2B
💰 $150M Private Equity Round - Accelerant on 2023-06
SaaS • B2B
Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.
📋 Description
• 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
🎯 Requirements
• 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.
🏖️ Benefits
• Flexible work arrangements
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