Data Engineer transforming complex datasets into actionable insights for Swiss Re's P&C Finance team. Building data pipelines and reporting tools in a hybrid work environment.
Responsibilities
Design and build robust data pipelines in Palantir Foundry
Develop transformation logic using PySpark and Apache-based technologies
Lead end-to-end data initiatives including ingestion, transformation, solution development, and AI/ML model deployment
Drive industrialization by building robust, enterprise-grade data pipelines and AI applications
Support and enhance existing reporting platforms, particularly in Power BI
Create new reporting tools or dashboards that visualize financial and operational data
Automate manual processes through innovative data flows
Take ownership of reporting problems with a solution-first mindset
Requirements
Comfortable with SQL and Python
Built things using Advanced Excel, Power Query, or Power BI
Written some DAX logic, or excited to learn more
Like working with big messy datasets and finding ways to clean and align them
Comfortable talking to business users and explaining logic
Nice to haves: user-defined functions (UDFs) in PySpark
Follow systematic coding practices
Worked with version control (Git or similar)
Care about performance optimization
Prior experience with Palantir Foundry, or working with finance data is a big plus
Worked on projects where you pulled together data from different places and made something useful
Benefits
hybrid work model where the expectation is that you will be in the office at least three days per week
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