Data Engineer (Contract-Dec 2027)
Key Skills for This Role
Full Job Posting
About Company
Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.
We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.
Company
Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.
This position is being posted to fill an existing vacancy.
We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.
Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting [email protected].
As part of Definity’s commitment to reconciliation, we acknowledge that our work, meetings, and travel take place on the lands now known as Canada, and recognize the enduring presence, wisdom, and stewardship of the First Nations, Métis, and Inuit peoples who have long cared for these lands.
Background checks
This role requires successful clearance of a background check (including criminal checks and leadership references).
#LI-Hybrid
Requirements
- Google Cloud Platform (GCP): Strong proficiency in GCP data services, including BigQuery, Cloud Storage, and DataBricks. Experience with Dataflow is an asset.
- Bachelor's or Master's degree in Math, Computer Science, Software Engineering, or a related field.
- Minimum 3-5+ years of experience in a hands-on data engineering role, with a focus on pipeline development and data modeling on Google Cloud Platform.
- Experience with large-scale data processing and distributed systems.
- Google Cloud Professional Data Engineer Certification or equivalent is a strong asset for this role.
- Strong data engineering expertise, building and orchestrating scalable data pipelines using Airflow, Cloud Composer, Apache Beam, and Python.
- Advanced SQL and data modeling skills, including complex query development, optimization, schema design, and data analysis.
- Proven ability to develop dynamic Airflow DAGs and robust data solutions that support efficient, reliable data processing.
- Solid understanding of Agentic AI
About Definity
Verified company details for this employer are not available yet.
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