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 

• 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 

• 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