Senior Data Engineer
swissre
Job Description
- Drive end-to-end analytics delivery — design, develop, and implement analytics models and visualisations that provide actionable, business-ready data insights
- Collaborate with stakeholders — work closely with Product Owners and Architects to understand requirements, formulate solutions, and evaluate implementation effort
- Build scalable data pipelines — design, develop, and maintain robust transformation logic using Python/PySpark, SQL, and modern analytics platforms such as Palantir Foundry
- Leverage AI technologies — utilise Palantir AIP and generative AI to enhance analytics solutions, automate workflows, and improve user experiences where appropriate
- Champion AI-assisted development — apply tools such as GitHub Copilot or equivalent to improve development efficiency while upholding high engineering standards
- Optimise Spark-based solutions — oversee architecture design and performance tuning of Spark-based data solutions at enterprise scale
- Set engineering standards — define and drive the adoption of best practices, coding standards, and quality frameworks across the team
- Innovate and prototype — evaluate new platform capabilities, develop prototypes, and draw conclusions on their applicability to the solution landscape
- Mentor and lead — provide knowledge, guidance, and technical leadership to a team of developers in an agile, collaborative environment
- Stay ahead of the curve — continuously track emerging data engineering tools, frameworks, and industry trends, driving innovation within the team
- Deliver as a global team — collaborate across a globally distributed development team to design and deliver impactful solutions