Data Engineer (Intermediate to Senior Level)
Date: Dec 30, 2025
Location: Winnipeg, MB (Hybrid), CA Kitchener, ON (Hybrid), CA Edmonton, AB (Hybrid), CA Calgary, AB (Hybrid), CA Vancouver, BC (Hybrid), CA North York - Toronto, ON (Hybr, CA
Company: Wawanesa Insurance
Job ID: 9642
Employment Type: Existing Role
Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal and external stakeholders across Canada where the primary business language for this role is English. As such, the successful candidate must be fully proficient in English
Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.
The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $85,000 to $115,000. Candidates with salary expectations outside of the range are still encouraged to apply.
About Us
At Wawanesa, we offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Toronto (North York), ON; Kitchener.
The Wawanesa Mutual Insurance Company (“Wawanesa Mutual”), founded in 1896, is one of Canada’s largest mutual insurers, with over $3.5 billion in annual revenue and assets of $10 billion (CAD). Wawanesa Mutual, with its National Headquarters in Winnipeg, is the parent company of Wawanesa Life, which provides life insurance products and services throughout Canada, and Western Financial Group, which distributes personal and business insurance across Canada. Wawanesa proudly serves more than 1.7 million members in Canada, and we are home to more than 3,300 employees distributed across the Canadian regions and communities where we operate. We give back to organizations that strengthen communities, donating more than $3.5 million annually to charitable organizations, including over $2 million annually in support of people on the front lines of climate change. We are also proud to be recognized as one of Manitoba’s Top Employers. To learn more visit wawanesa.com.
We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.
Job Overview
We are considering candidates across a range of experience levels (Junior, intermediate and Senior). If you have relevant experience in data engineering and can succeed in the responsibilities outlined, we’d love to hear from you.
The Data Engineer is responsible for building, maintaining, expanding, and optimizing data pipelines, data products and data practices, and then moving these data pipelines effectively into production for key analytics consumers like Actuarial, Data Analysts and ML Engineers to support advanced analytics use cases across the enterprise.
Job Responsibilities
- Understanding and translating business and functional needs into machine learning problem statements (Senior Level)
- Architecting data pipelines (Senior Level)
- Creating and maintaining data pipelines
- Discovering new data acquisition opportunities
- Automation of the most-common, repeatable, and tedious data preparation and integration tasks
- Collaboration with business partners, Analytics Exploration and Operations teams in refining their data requirements for various analytics initiatives and their data consumption requirements
- Renovating the data management infrastructure to drive automation in data integration and management (Senior Level)
- Ensuring that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives (Senior Level)
- Promoting the available data and analytics capabilities and expertise to business leaders and educate them in leveraging these capabilities in achieving their business goals
- Performs other duties as assigned
Qualifications
- More than 6 years (10 years for Senior Level) of experience in data modeling, data management and data engineering. Strong experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management
- 2+ years of experience as a mentor, tech lead OR leading an engineering team (Senior Level)
- A bachelor's degree in data management, information systems, software engineering, computer science or a related quantitative field or equivalent work experience is required
- Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management
- Proficiency in SQL and NoSQL
- Proficiency in Python, Linux, Bash
- Proficiency with AWS technologies or equivalent cloud services including data tooling
- Proficiency with AWS CloudFormation or equivalent infrastructure as code
- Proficiency with Git, CI/CD
- Proficiency with big data tools such as Hadoop and Spark is an asset (Senior Level)
- Previous experience with technologies such as DataBricks, Snowflake, or a cloud ETL stack is an asset
- Knowledge of Guidewire Gosu is an asset
- Strong ability to support and work with cross-functional teams in a dynamic business environment
- Required to be highly creative and collaborative
- Required exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders (Senior Level)
- Has good judgment, a sense of urgency
- Commitment to high standards of ethics, regulatory compliance, customer service and business integrity
Diversity Equity, Inclusion & Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people – this is supported by having a representative workforce.
We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.
We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.
Please note that the recruitment process this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.