Data Engineer

Gore Mutual Insurance; Cambridge; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

Join a leading mutual insurance company as a Data Engineer, where you'll develop and maintain data platforms that enhance data accessibility and decision-making. Collaborate with cross-functional teams to build robust data processes and ensure data integrity. This role offers a unique opportunity to be part of a transformative journey in the insurance industry.

Qualifications

• Minimum 3-5 years of relevant experience as a data engineer.
• Proficiency in one programming language, preferably Python.

Responsibilities

• Build data pipelines and technical components.
• Automate data management processes and handle data security.
• Test and optimize data pipelines for efficiency.

Skills

Problem Solving

Communication

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science

Tools

SQL

Microsoft Azure

Python

Apache Spark

Job description

Next Horizon is here. Fueled by investments in talent and technology, our bold strategy to transform is nearly complete.

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Our path forward sharpens our focus on business performance, driven by leading technology, innovation and an agile, high-performing culture. With Gore Mutual and Beneva announcing their intent to merge in 2026, we’ll be uniting two well-established, financially strong, and trusted brands to become the strongest mutual insurer in Canada, ensuring Canadians have purpose-driven insurance options for generations to come. Come join us.

As a Data Engineer at Gore Mutual Insurance, you have a strong technical background in software engineering / computer science and will be responsible for building, and maintaining our data platform. Your work will facilitate data accessibility, accuracy, and accountability, enabling data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to ensure our data processes are robust and scalable.

What will you be doing in this role?

Developing Systems for Collecting and Storing Data

• Build data pipelines and technical components

Automating Data Management Processes and Handling Data Security

• Automated data management processes.
• Follow security protocols and best practices to protect against potential security threats.

Testing and Optimizing Data Pipelines

• Optimize data pipelines to ensure efficient data flow.
• Ensure that the data extracted from sources is accurate, complete, and usable. This might involve checking for missing values, inconsistent formats, or anomalies that could indicate errors.
• Test the efficiency and speed of data pipelines and databases. This can help identify bottlenecks and optimize performance.
• Verify that different components of the data infrastructure work together as expected. This includes checking that data flows correctly from sources to databases, and from databases to application

Maintenance of Data Pipelines

• Regularly check the health and performance of the data processes.
• Identify and resolve issues including debugging code, optimizing queries, or adjusting configurations.

What will you need to succeed in this role?

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering or a related field(degree in a technical field with specialization in Analytics, Data Science, or a related subject)
• A minimum of 3-5years of relevant experience as a data engineer is required. This includes experience in data engineering, data system development, or related roles.
• Good understanding of data structures, data modeling, and SQL.
• Exposure to Cloud based Services, preferably Microsoft Azure.
• Understanding with software design patterns and test-driven development (TDD)
• Proficiency in one programming language, preferably Python, including a strong grasp of Object Oriented and Functional programming paradigms.
• Exposure to Apache Spark concepts and distributed systems, including data transformations, RDDs, DataFrames, and Spark SQL.
• Strong problem-solving and critical-thinking abilities.
• Strong communication and collaboration skills. Eager mindset, willing to learn fast.
• Databricks certifications (Databricks Certified /Data Engineer Professional certification).

#LI-Hybrid

#IndHP

Gore Mutual Insurance is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process. If you require accommodation because of a disability, we will work with you to meet your needs. If you are selected for an interview and require accommodation, please advise the HR representative who will consult with you to determine an appropriate accommodation.

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