Data Engineer, Na Integrated Analytics (2024 New Grad - Toronto)

POSITION: Data Engineer, NA Integrated Analytics (2024 New Grad - Toronto)

LOCATION: Toronto, ON

ANTICIPATED START DATE: 2024 (upon graduation)

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.

How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.

• Build highly scalable products with best security, ML, DevOps practices
• Research bias and fairness, disease models, NLP & more
• Discover diverse careers with leadership opportunities
• Develop solutions that allow easier access to insurance and healthier lifestyles
• Flexible remote/in-person work + focus on work-life balance
• Be part of a fast-growing team that values transparency & diversity

Our Integrated Analytics (IA) team is recruiting for its 2024 class of permanent entry-level Data Engineers. We’re looking for new/recent graduates who have a passion for data, technical aptitude, and an eagerness to work alongside our experienced professionals in this dynamic field.

Munich Re is operating under a hybrid working model, including an average of 2-3 days in office/week. New Grads are expected to relocate to the city in which they work, so they can fully benefit from becoming fully immersed within the greater Munich Re Culture. As there have been many changes throughout the pandemic/post pandemic, this policy is subject to change, based on business requirements.

To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/solutions/integrated-analytics.html

THE ROLE:

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

• Manage and secure relational databases for complex data relations
• Manage and improve our observability stack
• Define, create, and build our CI/CD pipeline practices
• SOFTWARE ENGINEERING:
• Participate in all stages of the software development lifecycle including QA and testing
• Build data products with heavy reliance on cloud infrastructure
• DATA ENGINEERING:
• SECURITY:
• Contribute to various on-the-go projects, related to the following areas of concentration (as needed and as fits with your focus):
• Integrate security into all stages of the engineering pipeline and employ a “security first” attitude
• Containerize and deploy production applications on our Kubernetes cluster
• Provision and manage enterprise cloud infrastructure via Infrastructure as Code
• Build and expand our ETL batch and streaming pipelining practices
• Incorporate Git, testing, CI/CD workflows and PRs into any coding project
• Participate in various research projects in the field of machine learning and deep learning – collaborating with our greater team of scientists and engineers.
• Create, test and support the development of Python based applications and predictive models deployed as RESTful microservices APIs
• DEVOPS:
• Understand and simplify our complex networking stance

QUALIFICATIONS:

Specifically, we’re looking for the following qualifications:

Technical:

• Familiarity with web app development using Flask, SQL and FastAPI;
• Knowledge of relational database systems (RDMS) and data management;
• Experience in creatively and rapidly debugging for on-the-job issues.
• Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics – or equivalent program;
• Ability to perform version control using Git and submit well-structured Pull Requests (PR);
• Working knowledge of linux commands;
• Familiarity with Python / other object-oriented language and software testing libraries (unittest / mock);

Behavioral:

• Ability to independently research new tools and technologies.
• Proven ability to thrive in a dynamic environment;
• Solid communication skills; spoken & written, formal/informal presentation;
• Able to learn quickly and independently and motivated to help others;

Preferred (but not required):

• / containerization / Kubernetes / Ansible / Terraform / Airflow / Databricks;
• Exposure to authentication & authorization / networking / SQL ORM / PySpark }
• Previous exposure to insurance or financial services environment.
• Familiarity with Azure or other cloud platforms and its related offerings;

Note that this opportunity is open to both graduating students, as well as recent graduates who have obtained their degree within the past year.