Data Engineer, Master Data Management (MDM)

elementfleet; 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 a Data Engineer for Master Data Management to evolve our Enterprise Data Platform, focusing on ETL/ELT pipelines, Snowflake-based processing, and data quality management.

You will implement MDM concepts, automate data flows, and collaborate across teams to deliver trusted Golden Records and scalable data solutions that empower informed business decisions.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 3+ years in MDM, data engineering, or data stewardship.
• Strong understanding of MDM concepts and data quality.
• Hands-on SQL and ETL/ELT experience.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines into Snowflake and MDM.
• Develop SQL transformations for standardization, cleansing, and enrichment.
• Implement data models across staging, curated, and golden layers.
• Optimize Snowflake performance, storage, and cost.
• Define data quality rules, checks, and KPIs for pipelines.
• Perform root cause analysis and implement preventive fixes.
• Support QA/UAT testing for enhancements, fixes, and data remediation.
• Identify automation opportunities across MDM and data pipelines.
• Drive adoption of AI-driven automation and intelligent workflows.

Skills

MDM concepts

SQL

ETL/ELT pipelines

Data governance

Automation

AI-driven data operations

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Talend

Qlik

Informatica

AWS Glue

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 Data Engineer, Master Data Management (MDM) 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.

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. Should you require an accommodation with our hiring process please send an email to [e-mail] or call [phone]. Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your r\'e sum\'e and