Master Data Management (MDM) Engineer

Element Fleet Management; Toronto; On-site; CAD 63,000 - 86,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Retirement savings plans

Job summary

Element Fleet Management in Toronto is seeking an experienced Master Data Management (MDM) Engineer to support and evolve our Enterprise Data Platform. You will focus on ETL/ELT pipelines, Snowflake-based processing, and data quality, driving automation and intelligent monitoring across the data platform.

You will work on data stewardship, MDM operations, and modern data engineering, with emphasis on Golden Records, data validation, and KPI definition.

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.

Responsibilities

• 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 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.

Skills

MDM concepts

Data quality & governance

SQL & relational databases

ETL/ELT pipelines

AI-assisted data ops familiarity

Education

Bachelor’s degree in CS/IS or related

Tools

Snowflake

Reltio/Semarchy xDM

Talend

Qlik

Informatica

AWS Glue

AWS

JIRA

Git

Jenkins

Job description

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

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 upon request. 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.