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Tata Consultancy Services

Sr. IFRS17 Data Engineer

Toronto, ON, Canada

$90,000 to $110,000 CAD / year · Full-time

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Job details

Pay: $90,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Nov 24, 2026
Posting language: English
Posted: Oct 25, 2026

Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Sr. IFRS17 Data Engineer

Job Description

Must-Have Skills

Demonstrated knowledge of IFRS 17, data analysis, and the insurance domain.
Expert knowledge of:
Data analysis
SQL
Python
PySpark
Develop and maintain backend systems using Python and PySpark, ensuring high performance, scalability, and reliability.
Design and implement data engineering and ETL pipelines using PySpark.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Mentor and guide engineers by providing technical guidance and conducting code reviews.
Lead the technical direction of the team, including architecture, design, and implementation of software systems.
Collaborate with product owners to define and prioritize requirements.
Develop and maintain technical documentation, including architecture diagrams and technical specifications.
Participate in code reviews to ensure high-quality code and adherence to coding standards.
Collaborate with DevOps and Operations teams to ensure smooth application deployment and operation.
Strong expertise in DevOps practices and CI/CD pipelines.
Strong technical leadership, mentoring, and coaching skills.
Ability to make technical decisions, prioritize tasks, and manage technical resources.
Excellent communication and collaboration skills.
Ability to drive technical innovation by researching and evaluating new technologies and recommending technical solutions.
Strong problem-solving skills with the ability to debug complex issues.
Willingness to learn new technologies and adapt to new challenges.
Stay current with the latest technologies and frameworks and apply this knowledge to improve existing systems and processes.

Good to Have

Dataiku exposure.

Salary Range - CA$ 90,000 - CA$ 110,000 Per Year

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

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More about this job

Responsibilities

Develop and maintain scalable, reliable backend systems and PySpark-based data engineering and ETL pipelines. Lead technical architecture and implementation, guide engineers, collaborate with product and cross-functional teams, and support code quality, documentation, deployment, and operational reliability.

Requirements

Requires demonstrated knowledge of IFRS 17, data analysis, and the insurance domain, with expert-level SQL, Python, and PySpark skills. Candidates should also bring strong DevOps and CI/CD expertise, technical leadership and mentoring abilities, and excellent problem-solving and collaboration skills; Dataiku exposure is an asset.

Skills

IFRS 17
Data Analysis
Insurance Domain Knowledge
SQL
Python
PySpark
Data Engineering
ETL Pipelines
Backend Systems
DevOps
CI/CD
Technical Leadership
Mentoring
Software Architecture
Technical Documentation
Dataiku

Visa sponsorship

Not detected in the job text

Keywords

IFRS 17
Insurance
Data Analysis
SQL
Python
PySpark
Data Engineering
ETL
Backend Systems
Scalability
Reliability
Software Architecture
Technical Leadership
Mentoring
Code Reviews
Technical Documentation
DevOps
CI/CD Pipelines
Product Requirements
Cross-Functional Collaboration
Application Deployment
Operations
Problem-Solving
Dataiku
Technical Innovation

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