Data Engineer II

Join us on an exciting journey to transform the reinsurance industry through data! We're seeking a talented Data Engineer who is passionate about building scalable data solutions that drive business decisions and create value. In this role, you'll have the opportunity to work with cutting-edge technologies while collaborating with global teams to democratize data across our organization.

About the Role

As a Data Engineer, you'll be at the forefront of our data transformation initiatives, designing and delivering best-in-class data engineering capabilities that support our company's ambition to become truly data-driven. You'll leverage your expertise in architecting, building, and testing data management solutions within our cloud infrastructure to unlock the full potential of our data assets.

Key Responsibilities

Work closely with Product Owners and Architects to understand requirements, formulate solutions, and evaluate implementation efforts
Design, develop, and maintain scalable data transformation pipelines that turn raw data into valuable business insights
Create and implement analytics models and visualizations to provide actionable data insights for stakeholders across the organization
Evaluate new capabilities of our analytics platform, develop prototypes, and assess their applicability to our solution landscape
Collaborate with global development teams to design and deliver innovative data solutions that meet business needs

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. We are a large globally distributed team working in an agile development landscape, delivering 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

You're a curious problem-solver who thrives in collaborative environments and is passionate about turning complex data challenges into elegant solutions. You're excited about the potential of data to transform businesses and eager to contribute your technical expertise to our growing team.

We are looking for candidates who meet these requirements:

Bachelor's degree or equivalent in Computer Science, Data Science, or similar discipline
At least 3-5 years of experience working with large-scale software systems
Proficient in Python & PySpark (must)
Strong SQL skills (Spark SQL preferred)
Palantir Foundry experience in required
Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
Excellent communication skills, with the ability to articulate complex technical concepts clearly

These are additional nice to haves:

Experience with JavaScript/HTML/CSS
Cloud environment experience (AWS or Azure)
Knowledge of Insurance Domain, Financial Industry, or Finance function in other industries
Experience working in global and multicultural environments

About Swiss Re

Swiss Re is one of the world’s 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. Combining 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 age, gender, 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.

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Reference Code: 136288

Job Segment: Data Management, Data

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