Senior Data Engineer

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:

• Bachelors degree level or equivalent in Computer Science, Data Science or similar discipline

• At least 12 years of experience working with large scale software systems

• At least 6 years of experience in Pyspark and Proficient in designing Large Scale Data Engineering solutions

• Minimum of 2 years of experience with Palantir Foundry, including familiarity with tools such as code repositories and Workshop.

• 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 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

• 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