About the Role We're looking for a Master Data Management (MDM) Engineer to join our team.
In this role, you will support and evolve our Enterprise Data Platform. This role combines data stewardship, MDM operations, and modern data engineering, with a focus on ETL/ELT pipelines, Snowflake-based processing, and data quality management. You will play a key role in ensuring trusted Customer & Contact data (Golden Records) while driving automation, intelligent monitoring, and continuous improvement across the data platform.
What You'll Do Design, build, and maintain ETL/ELT pipelines to ingest data into Snowflake and MDM. Develop SQL-based transformations for standardization, cleansing, and enrichment. Implement data models (staging, curated, golden layers) aligned with MDM architecture. Optimize Snowflake performance, storage, and cost efficiency. Implement data validation, reconciliation, and monitoring frameworks across pipelines. Define and implement data quality rules, checks, and KPIs. Perform root cause analysis and implement preventive fixes. Support QA/UAT testing for enhancements, fixes, and data remediation. Identify and implement automation opportunities across MDM and data pipelines. Drive adoption of AI-driven automation and intelligent workflows to reduce manual effort.
Internally, this role's title is " MDM Data Engineer & Steward"
Basic Qualifications Bachelor’s degree in Computer Science, Information Systems, or related field.
3+ years of experience in MDM, data engineering, or data stewardship roles.
Strong understanding of MDM concepts (Customer, Contact, Match/Merge, Golden Record).
Strong understanding of data quality and governance principles.
Hands-on experience with SQL and relational databases.
Experience working with ETL/ELT pipelines and data flows.
Preferred Qualifications Experience with Reltio/ Semarchy xDM (or similar MDM tools).
Strong experience with Snowflake: SQL optimization, data modeling, ELT pipelines.
Hands-on experience with ETL tools: Talend / Qlik / Informatica / AWS Glue.
Familiarity with AWS (S3, Glue, Lambda).
Exposure to DevOps tools (JIRA, Git, Jenkins).
Familiarity with AI-assisted data operations, anomaly detection,
or automation frameworks is a plus.
Location 1 Adelaide in Toronto, Ontario
Compensation The hiring base salary range for this position is $62,600-$86,000 annually. This range represents the Company's good-faith estimate of the expected base salary at the time of posting. Salary ranges may vary based on the geographic location where the work is performed. The salary range listed in this posting applies only to the location identified. Actual compensation will be determined based on several factors, including the successful candidate's qualifications, knowledge, skills, experience, internal pay equity, and relevant market data.
In addition to base salary, eligible employees may participate in annual incentive programs, including bonuses, commissions, or other incentive compensation, as applicable to the role.
Element also offers a comprehensive benefits package, which may include health insurance, tuition reimbursement, and retirement savings plans.
What's in it for You A culture of innovation, empowerment, decision-making, and accountability
Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)
Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.
Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status,
family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws.
Disability-related accommodations during the application and interview process are available at once.
Should you require an accommodation with our hiring process please send an email to
[email protected] or call (800) 665-9744.
Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience. AI outputs do not by themselves determine whether you advance or receive an offer - they assist recruiters and hiring managers. Final hiring decisions are made by people.
Element Fleet Management (TSX: EFN) is the largest publicly traded pure-play automotive fleet manager in the world. As a purpose-driven and client-centric company, we deliver value through scalable, sustainable, and technology-enabled fleet and mobility solutions. Through the Element-Arval Global Alliance, we operate in over 50 countries, supporting clients across North America, Australia, New Zealand, Ireland, and beyond. Our global reach is further extended by Autofleet, our technology platform accelerating the modernization of our digital capabilities.
Element delivers end-to-end solutions to our clients—from vehicle acquisition and maintenance to EV integration, route optimization, risk management, and remarketing.
Our People Drive Our Success At Element, our success begins with you. Inspired by our purpose to move the world through intelligent mobility—and guided by our values: We are always a force for valuable, We are experts defining the future of mobility and we are driven by client success. Everyday, our team members deliver on our purpose and our values for each other, our communities and our clients. It's our commitment to how we work, grow and put our clients at the heart of everything we do.
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📌 Master Data Management (MDM) Engineer (Ontario)
🏢 CEI Fleet Collision and Safety
📍 Ontario