Job Description

Munich Re sees the use of data as instrumental in making it easier for people to buy life insurance and to expand the number of people insured. The Integrated Analytics (IA) team leads this effort in the US and Canada for the North American Life business. We are looking for a Senior Data Engineer to help build and develop our data intensive infrastructure in support of underwriting and life insurance use cases.

Because of our unique positioning and team size, you will work on projects and have significantly more ownership than you would at a larger company. We also value individual development and are happy to help you grow independently by exposing you to different functional areas within the team.

To learn more about the North American Integrated Analytics team, please visit our site:

THE ROLE:

Responsibilities may include, but will not be limited to the following:

• Build and expand our ETL batch pipelining practices using tools such as Airflow and Databricks
• Manage and secure our enterprise databases systems and Data Warehouses
• Learn and implement engineering tools and techniques such as Infrastructure-as-Code (IaC) and Database-as-Code(DaC)
• Support in active debugging and fixing bugs, while maintaining production versions of data & analytics pipelines
• Follow a cloud-native approach and build data products with heavy reliance on cloud infrastructure.
• Actively engage in the Agile methodology and work collaboratively in sprints
• Provide mentorship to junior engineers on skill development.

QUALIFICATIONS:

• Undergraduate degree (major/minor) or higher in Computer Science, Engineering, Physics, Bioinformatics - or equivalent program
• Familiarity with Python
• Ability to work in a cloud-native development environment using cloud platforms such as Azure or AWS
• Experience dealing with different data formats and suitable algorithms for data wrangling
• Knowledge of SQL, relational and NoSQL database systems (RDMS) such as MS SQL Server and CosmosDB and complex data modelling
• Basic knowledge of Big Data tools such as Spark and Databricks
• Intermediate knowledge on data model types
• Intermediate knowledge of the linux Operating System
• Ability to perform version control using Git and submit well-structured Pull Requests (PR)
• Experience in creatively and rapidly debugging for on-the-job issues
• Desire to learn new technologies and passion about integrating them into our data stack
• Ability to clearly communicate in a non-technical manner with stakeholders

Preferred (but not required):

• Previous exposure to insurance or financial services environment
• Experience dealing with Azure-native Big Data tools
• Knowledge of security best-practices for data infrastructure tools

Munich Re is one of the world\'s leading reinsurance companies with approximately 40,000 employees in over 50 locations around the globe. We expanding our diverse team of Data Scientists, Machine Learning Engineers, and Software Engineers as we deploy more complex and larger products. Headquartered in midtown New York City, our Integrated Analytics team operates as a start-up within the larger corporation; we are central to innovation and pioneering new technologies in the Life Insurance space. Our solutions are driven by the bold vision and strong sponsorship of North America CEO Mary Forrest.

Munich Re