72 Swiss Re Jobs
Data Engineer
Swiss Re
posted 1d ago
Flexible timing
Key skills for the job
Job Title: Data Engineer
Take a chance to join the dynamic and agile team responsible for Tech Architecture! If you are passionate and thoughtful Data engineer who have a background in digital technologies and is seeking for exciting possibilities to apply your know-how in the financial world, then we have an outstanding opportunity for YOU. Buckle up and read on.
About the Role
As Data Engineer be ready to bring new insights and broaden our experience-base in new technologies and the latest software and Data/AI engineering trends. You will be working closely with our Product Teams to co-create Data enabled services, from conceptual design to solution architecture to implementation of Data Products.
Your key responsibilities:
About the Team
Asset Managements Tech Transformation is our strategic program to modernise our tech platform and empower our business users with better tools and data, delivering on our digital vision. We selectively combine transactional and analytics data platforms to provide innovative, secure and cost aware technology services.
As part of Swiss Res Asset Management CTO organization, we work in a scaled agile model with a shared leadership team and broadly aligned autonomy for our squads. We are located across the globe but share the same values of passion, openness, respect, humility, and curiosity in our team. We strive to improve the quality of our work for our customers every day. As a matter of trust, we give you a high degree of flexibility which matches your independent working style. Is this for youThen we want to get to know you!
About You
Your passion is engineering and Data practices, and fully recognize the benefits of ETL processes that ensure data is accurate, reliable, and accessible. You have a fundamental technical understanding of Data platforms such as Palantir Foundry, and relational databases, preferably Postgres. You thrive when working in a strong engineering culture and have a passion for multi-cultural teamwork and help others in your team to achieve their full potential. You strive to share team expertise and help us increase our Agile maturity.
Essentials:
Nice to haves:
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. We cover both Property Casualty and Life Health. 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.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Swiss Re Data Engineer roles with real interview advice
Swiss Re is one of the world's leading reinsurers, providing insurance solutions to clients across the globe. As a data engineer at Swiss Re, you would likely be responsible for designing, building, and maintaining the company's data infrastructure, as well as developing data-driven solutions to support business decision making. You..Read More
Data quality issues: Ensuring the accuracy and consistency of data can be a challenge. Integration with other systems: Integrating data from various sources and ensuring compatibility between systems can be time-consuming and difficult. Scalability: Ensuring that data systems can handle increasing amounts of data can be a challenge.