Senior Data Engineer

Senior Data Engineer

About the Role:

As a Senior Data Engineer, you will be responsible for designing and implementing complex data pipelines and analytics solutions to support key decision-making business processes in our Property & Casualty business domain. You will gain exposure to a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re Property & Casualty.

 

You will be expected to take end-to-end ownership of deliverables, gaining a full understanding of the Property & Casualty data and the business logic required to deliver analytics solutions.

 

Key responsibilities 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.
• Data model Design, Data architecture implementation
• Working with Palantir platform for implementation
• Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing Development of single source of truth about our application landscape.
• Collaborate within a global development team to design and deliver solutions
• Assist stakeholders with data-related functional and technical issues
• Working with data governance platform for data management and stewardship.

 

About the Team:

This position is part of the Property & Casualty Data Integration and Analytics project within the Reinsurance Data office team under Data & Foundation. We are part of a global strategic initiative to make better use of our Property & Casualty data and to enhance our ability to make data driven decisions across the Property & Casualty reinsurance value chain.

 

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 10 years of experience working with large scale software systems
• At least 5 years of experience in Pyspark and Proficient in designing Large Scale Data Engineering solutions
• At least 3 years of Experience working with Palantir Foundry
• Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
• Experience with TypeScript/JavaScript/HTML/CSS a plus
• Knowledge of data management fundamentals and data warehousing principals
• Demonstrated strength in data modelling, ETL and storage/Data Lake development
• Experience with Scrum/Agile development methodologies
• Experience working in a Cloud environment such as Palantir Foundry
• 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

 

 

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.

 

 

Keywords:  
Reference Code: 137462 

 

 

Experience Level

Senior Level