Data Engineer (Data Platform)
Role summary
Accelerant is seeking a forward-thinking Data Engineer to join their dynamic team. This role is central to constructing and optimizing the company's robust data platform, which drives their SaaS platform, internal analytics, and operational systems. The Data Engineer will design and build solutions that provide insights and lay the foundation for Accelerant's success. Key responsibilities include ingesting datasets, building cloud infrastructure, designing data pipelines and APIs, and implementing monitoring processes. The role requires 2+ years of experience as a Data Engineer with proficiency in AWS, Snowflake, SQL, Python, and DataOps methodologies.
Data Engineer
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