Data Engineer
Accelerant9 months ago
United Kingdom (city not specified)Mid Level
Responsibilities
- Analyze 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 metadata-driven data pipelines and data streams.
- Design and build data service APIs.
- Transform and cleanse complex datasets.
- Analyze current business practices, processes, and procedures.
- Implement effective metrics and monitoring processes.
- Learn continuously and share knowledge with the team.
Requirements
- At least 2 years of experience working as a Data Engineer.
- Experience developing with AWS, Snowflake, SQL, and Python.
- Experience with DataOps methodologies, tools, and processes.
- Desirable: experience with dbt.
- Desirable: experience handling structured and unstructured datasets.
- Desirable: experience in AI and Machine Learning.
- Desirable: experience with real-time and batch-mode data ingestion.
- Desirable: experience in Data Warehouse development.
- Desirable: general P&C Insurance business knowledge.
About Accelerant
Accelerant builds a data-driven risk exchange for specialty insurance, connecting MGAs and underwriters with aligned risk capital and software to run their programs. Its platform ingests and analyzes underwriting and claims data to support pricing, capacity allocation, and operations, and it partners closely with specialty underwriting teams. Founded in 2018 and headquartered in Atlanta, the company focuses on improving efficiency and profitability for program-based insurance businesses.