Expert Data Engineer

About the Role:

As an Expert Data Engineer, you will be responsible for leading the design and implementation of complex data pipelines and analytics solutions to support key decision-making business processes in our Reinsurance Client Solutions business domain. You will lead the development of strategic use cases within our Data Integration and Analytics platform. You will gain exposure to projects that are leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re Reinsurance Client Solutions.

You will be expected to work with business experts to understand client requirements and design and develop solutions to meet those needs. You will have end-to-end ownership of deliverables, gaining a full understanding of the Reinsurance data, Client data, and the business logic required to deliver analytics solutions.

Key responsibilities include:      

• Work closely with Product Owners, Business Analysts and Architects to understand requirements, formulate solutions and evaluate the implementation effort.
• Design, develop and maintain scalable data transformation pipelines.
• Design and implement analytics models and visualizations to provide actionable data insights.
• Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape.
• Collaborate within a global development team to design and deliver solutions.
• Assist colleagues and clients with data-related functional and technical issues.

About the Team:

This position is part of the Swiss Re Solutions Data & Technology organization. We are enabling our Clients to make data driven decisions at all stages of their value chain with the help of Swiss Re data and expertise.

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, designing and implementing solutions from start to finish. Key qualifications include:

• Experience designing and implementing data analytics solutions on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred).
• Proven track record of understanding and transforming customer requirements into a best-fit design and architecture.
• Demonstrated experience in end-to-end data management, data modelling,  and data transformation for analytical use cases.
• Working experience in Palantir Foundry platform is preferred.
• Proficient in Python/PySpark.
• Proficient in SQL (Spark SQL preferred).
• Experience with JavaScript/HTML/CSS a plus. Experience working in a Cloud environment such as Azure or AWS is a plus.
• Experience with Scrum/Agile development methodologies.
• At least 10 years of experience working with large scale software systems.
• Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline.
• Knowledge of Insurance Domain or Financial Industry is a strong plus.
• Experienced working in multicultural globally distributed teams.
• Self-starter with a positive attitude and a willingness to learn, who can manage their own workload.
• Strong analytical and problem-solving skills.
• Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments.