Key skills
PythonCSQLAIMachine LearningMLAnalyticsSnowflakedbtAWS
About this role
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. They are seeking a forward-thinking Data Engineer to construct and optimize their robust data platform, which is central to their operations and supports various internal and external analytics.
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
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
- 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