Data Engineer – Munich Re Careers

Job Description

This position is open to the following locations: New York, Princeton, NJ, Chicago, IL, Philadelphia, PA.

Data Engineer

The Company

Munich Re Specialty Insurance (MRSI) provides extensive, specialty property and casualty insurance solutions to customers through select brokers, Managing General Agents, program administrators, cover holders and insurtech partners. Products include: property, casualty, professional liability and other specialty insurance solutions. Our comprehensive, customized solutions are provided by A+ rated carriers and are tailored to clients’ needs. We offer superior service levels, industry-recognized underwriting and claims expertise and innovative approaches to complex and evolving risks.

Munich Re Specialty Insurance (MRSI) is a description for the insurance business operations of affiliated companies in the Munich Re Group that share a common directive to offer and deliver specialty property and casualty insurance products and services in North America. For more information on MRSI, including licensing, regulatory-required, and other information on the operating companies, visit https://www.munichre.com/us-non-life/en/general/munich-re-specialty-insurance-disclosures.html.

The Position

The person in the role will execute on the technical development of modern data landscape for the company, building the requirement to deliver data in good quality for use in analytics and reporting. The role will sit on the Data Team, a group of data architects and data engineers charged with acquisition, organization, integration and secure storage of mission-critical and value added enterprise data.

A successful individual will have very strong data engineering experience and can demonstrate mastery of data warehousing concepts using both current and emerging best practices and technologies. They will enjoy connecting the dots between process and have an aversion to slow development cycles and the same old ways of doing things. Speed and agility in developing and delivering data driven solutions will be critical.

This role reports to the Head of Data as part of a function that is accountable and responsible for the reliable delivery of data and insights that the business needs to understand performance and adjust strategy and operate smoothly in the face of ambitious growth and changing technology and operating models internally, and a shifting risk and competitive landscape. In this position you will:

• Act as the owner and developer of a predefined subset of processes and data pipelines, ensuring highly accurate and reliable delivery of outputs

• Collaborate with technical and business experts to improve our existing data landscape and drive better data driven decisions within the business.

• Adhere and enhance ETL and architecture standards and procedures to ensure consistency and accuracy of development, execution, knowledge sharing and documentation.

• Work closely with business architecture, IT and analytic teams help implement an end to end data strategy from data ingest to output into business tools.

• Coordinate closely with delivery lead and data team lead to ensure work is scoped, planned and delivered on-time and budget.

• Adhere and enhance the existing data governance framework and personally ensure compliance with regulatory and privacy requirements.

• Maintain a close working relationship with other group data teams within Munich RE to understand existing solutions and resources available for use within MRSI.

Qualifications:

This position requires sound technical skills, good judgement, strong operational focus and ability to organize and manage workflow in fast paced environment with focus on service and business value. Successful candidates will be possess the following skills/capabilities:

• Technical: Strong coding skills and experience developing operational/data warehouses/lakes code

• Commercial Insurance : ability to understand complex business priorities and translate them into clearly defined technical/data specifications for implementation

• Innovation: forward thinking and passionate about solving problems and has a strong drive to constantly learn and keep up to speed with the new technologies

• Organization: Ability to deal with ambiguity and operate in a fast-paced and rapidly changing environment with competing project priorities

• Communication: Ability to communicate clearly, effectively, and concisely, both verbally and in written form.

Qualifications:

• 3+ years’ experience in a data engineering role with exposure to system design, data modelling, data-curation and validation procedures

• 3 + years hands on experience in HSQL, SQL, Python, Hadoop, C#, Azure Environment/ADF and other web development application

• Bachelor’s Degree in Computer Science, Statistics, Math or equivalent combination of education and experience

• In depth knowledge of database structure principles, data modelling concepts, ETL procedures, Cloud data etc.

• Knowledge of data provisions requirements for web based business intelligence tools including Cognos, PowerBI and Tableau.

• Experience/knowledge of insurance preferably commercial specialty

• Experience working on data projects involving data engineers, architects and analysts.

• Knowledgeable with agile development methodologies and tools (i.e. Jira, AzureDevOps)

• Knowledge and ability to perform data profiling activities

• Experience troubleshooting issues and identifying/documenting Root Cause and documenting a course of action to resolve

The Company is open to considering candidates in numerous locations, including NYC. The salary range posted below applies to the Company’s NYC location.

The base salary range anticipated for this position is $86,900.-$131,300., plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

The salary estimate displayed represents the typical salary range for candidates hired in this position in NYC. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.

At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.