Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Data Engineer implementing data pipelines on Snowflake platform with a focus on innovation and collaboration for Zurich's data projects.
Responsibilities
- Design, build and implement Data pipelines onto the Snowflake platform
- Work with key business consumers to prototype, build and enhance data interfaces
- Lead innovation and experimentation, driving an automation first mindset
- Collaborate with Data Science and Analytics team for business value
Requirements
- Background in Data Warehouse development
- Designing and implementing ETL pipelines
- Data Modelling experience (ideally)
- Innovation and experimentation mindset
- Experience in a DevOps environment (Agile, Scrum or Kanban)
- Developing in Cloud environments such as Azure, Snowflake, AWS
Benefits
- 12% defined non-contributory pension scheme
- annual company bonus
- private medical insurance
- option to buy up to an additional 20 days or sell some of your holiday
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