Data Engineer

• 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

Software as a Service (SaaS), Sales, Data Sets, Analysis Skills, Cloud Computing, Artificial Intelligence (AI), Data Management, Metadata, Application Programming Interface (API), Business Practices, * 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

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.