Data Engineer II

Include Work closely with Product Owners and Architects to understand requirements, formulate solutions and evaluate the implementation effort Design, develop and maintain scalable data transformation pipelines Design and implement analytics models and visualizations to provide actionable data insights Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape Collaborate with a global development team to design and deliver solutions About The Team Property & Casualty Data & Analytics Engineering is a key tech partner for our Property & Casualty Reinsurance division, supporting the transformation of the data landscape and the creation of innovative analytical products and capabilities A large globally distributed team working in an agile development landscape, we deliver solutions to make better use of our reinsurance data and enhance our ability to make data-driven decisions across the business value chain About You About You: You enjoy the challenge of solving complex big data analytics problems using state-of-the-art technologies as part of a growing global team of data engineering professionals You are a self-starter with strong problem-solving skills and capable of owning and implementing solutions from start to finish Key Qualifications Include Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline At least 5 years of experience working with large scale software systems Proficient in Python/PySpark/TypeScript Proficient in SQL (Spark SQL preferred) Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred) Experience with Scrum/Agile development methodologies Experience with JavaScript/HTML/CSS a plus Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus Experienced in working with a diverse multi-location team of internal and external professionals Strong analytical and problem-solving skills Self-starter with a positive attitude and a willingness to learn Ability to manage own workload; self-directed Ability and enthusiasm to work in a global and multicultural environment Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments If you also have the following experience and interests, it is a huge plus: o Knowledge of Palantir Foundry or Microsoft Power BI o Project management abilities within agile frameworks o Experience with Machine Learning or Generative AI About Swiss Re Swiss Re is one of the worlds leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime We cover both Property & Casualty and Life & Healthbining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients This is possible thanks to the collaboration of more than 14,000 employees across the world Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their agegender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience Keywords Reference Code: 135701