Senior Data Engineer

🕒 January 14

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Swiss Re

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💰 Post-IPO Debt on 2023-03

Insurance • Finance • Reinsurance

Swiss Re is a leading global reinsurance company that provides insurance-based risk transfer solutions. With a commitment to innovation and financial stability, Swiss Re helps clients navigate various risks, including life, health, and property. The company aims to enhance the sustainability and resilience of societies by offering reinsurance, insurance, and related services, ensuring businesses can thrive amid uncertainties.

📋 Description

• Design and implement data pipelines in collaboration with data users and cross-functional teams, including hands-on development and solution architecture • Ensure reliability and optimal performance of our data assets in Foundry and Azure environments • Transform complex business requirements into high-quality data assets and capabilities • Deliver efficient code using primarily PySpark/Python, SQL and TypeScript, focusing on simplicity, reusability, performance, and maintainability • Optimize Spark jobs for efficiency and cost-effectiveness • Collaborate with solution engineers, data scientists and product owners to deliver end-to-end data products • Support emerging AI and ML capabilities

🎯 Requirements

• 7+ years in data engineering, transformation & analysis with proficiency in programming & scripting languages • Strong Python/PySpark/Scala skills along with in-depth knowledge of SQL • Hands-on expertise with cloud platforms like Azure or Palantir Foundry (equivalent experience with other cloud platforms is acceptable) • Working knowledge of Azure Synapse Analytics, Azure Data Lake and Azure SQL (or similar data-oriented cloud services) • Conceptual understanding of system design, data structures, scalable storage solutions, security constraints and cloud infrastructure • Data visualization experience, particularly with Workshop or Power BI • TypeScript experience for Functions in Foundry or Slate front-end work • DevSecOps mindset with understanding of DevOps tools • Experience with Palantir AIP for Data Science/AI/ML applications • Basic machine-learning or statistical knowledge • Palantir Foundry or Azure Data Engineer certification

🏖️ Benefits

• hybrid work model where the expectation is that you will be in the office at least three days per week