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Definity Insurance Company

Data Engineering Lead

Toronto, ON, Canada

Salary Range: $108,700-$158,700 · Full-time

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Job details

Pay: Salary Range: $108,700-$158,700
Job type: Full-time
Posting language: English
Posted: Oct 8, 2026

Original job description

The Opportunity

The Data Engineering Lead is responsible for setting and driving the technological vision, architecture, and development practices for data solutions across Technology Solutions. This role provides hands-on technical leadership and strategic oversight across multiple squads, enabling the design and execution of scalable, reusable, and high-quality data products and pipelines. The Lead is a senior technical authority who advances engineering excellence by strengthening CI/CD, automation, and modern data engineering standards. They collaborate with engineering managers, architects, and business stakeholders to translate business needs into resource, roadmap-aligned data delivery and ensure strong alignment between data needs and enterprise goals. This role requires thought leadership, innovation, and the ability to anticipate and solve complex technical challenges.

What to Expect

Provide technical leadership for designing scalable, high-quality data platforms, pipelines, integrations, and analytics solutions aligned with enterprise architecture standards.
Lead the adoption of CI/CD, test automation, TDD, and engineering best practices across multiple data engineering teams.
Ensure compliance with enterprise security, governance, architectural frameworks, and data management standards.
Drive modernization initiatives by evaluating emerging technologies and implementing scalable, reusable, and resilient data solutions.
Integrate AI, machine learning, and advanced analytics capabilities into data engineering processes and platforms.
Translate business and data strategy into actionable technical roadmaps, priorities, and execution plans.
Collaborate with data leaders, architects, project managers, and business stakeholders to deliver enterprise-wide data initiatives.
Act as the senior technical escalation point for complex data, platform, pipeline, and data quality challenges.
Mentor and influence engineering teams, promoting technical excellence, collaboration, and continuous skill development.
Bring deep expertise in GCP, Databricks, Python, SQL, cloud and big data technologies, data architecture, ETL/ELT, data modeling, Agile delivery, and modern data engineering practices.

What you Bring

University degree in Computer Science, Information Systems, Cyber Security, or related discipline.
7-10 years of experience in data engineering, data/application development, or a similar field within enterprise environments.
4+ years of technical leadership experience.
Experience with ML-enabled data systems, cloud data platforms, CI/CD, and modern data engineering frameworks.
Insurance industry experience is an asset.
Certifications in cloud technologies, data engineering, Agile, or DevOps are considered strong assets.

Salary Range: $108,700-$158,700

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.

Interested in this role, but don’t meet every requirement? We encourage you to apply! We know from experience that a candidate doesn’t need 100% of the qualifications listed to bring incredible value to our team. We’re actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren’t just “nice to have” - they’re essential to our success.

What’s in it for you?

Hybrid work schedule for most roles
Company share ownership program
Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
Pension and savings programs, with company-matched RRSP contributions
Paid volunteer days and company matching on charitable donations
Educational resources, tuition assistance, and paid time off to study for exams
Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
Wellness and recognition programs
Discounts on products and services

Go ahead and expect a lot - you deserve it.

It’s better here - but don’t take our word for it. Definity was named by Great Place to Work® as one of the Best Workplaces™ in Canada for women, for youth, and for inclusion.

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 accessibility@economical.com.

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 background checks (including criminal checks and leadership references).

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.

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More about this job

Responsibilities

The Data Engineering Lead sets the technological vision and architecture for data solutions while providing hands-on technical leadership across multiple squads. They are responsible for driving engineering excellence, implementing modern data standards, and collaborating with stakeholders to deliver scalable data products.

Requirements

Candidates must possess a university degree in a relevant discipline and 7-10 years of experience in data engineering or application development. At least 4 years of technical leadership experience and proficiency in cloud platforms, CI/CD, and modern data frameworks are required.

Skills

Data engineering
Technical leadership
GCP
Databricks
Python
SQL
Cloud computing
Big data
Data architecture
ETL/ELT
Data modeling
Agile delivery
CI/CD
Test automation
Machine learning
Data governance

Benefits

Hybrid work schedule
Company share ownership program
Incentive program
Pension and savings programs
Company-matched RRSP contributions
Paid volunteer days
Charitable donation matching
Educational resources
Tuition assistance
Paid time off for exams
Wellness programs
Recognition programs
Discounts on products and services

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
GCP
Databricks
Python
SQL
Cloud
Big Data
Data Architecture
ETL
ELT
Data Modeling
Agile
CI/CD
Test Automation
TDD
Machine Learning
Data Governance
Insurance
DevOps
Data Quality
Enterprise Architecture
Analytics
Leadership
Mentorship
Strategic Planning
Automation
Data Management
Scalability
Resilient Systems
Technical Roadmap

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