Data Engineer, Master Data Management (MDM)

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, combining hands-on Master Data Management experience with data stewardship and modern data engineering. You will work with MDM solutions, ETL/ELT pipelines, Snowflake-based processing, and data quality management to ensure 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 and integrate data across Snowflake and MDM platforms. * Support and enhance MDM solutions, including Customer and Contact master data, match/merge processes, Golden Records, and data stewardship workflows. * 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 is titled "MDM Data Engineer & Steward." Basic Qualifications * Bachelor’s degree in Computer Science, Information Systems, or a related field. * Must have 3+ years of demonstrated experience working with Master Data Management (MDM), including hands-on experience supporting or implementing MDM solutions in a production environment. * Must have hands-on experience with an enterprise MDM platform such as Reltio, Semarchy xDM, Informatica, Ataccama, or a comparable MDM solution. * Strong understanding of core MDM concepts and processes, including Customer and Contact master data, Match/Merge, Golden Records, and data stewardship. * 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 * Strong experience with Snowflake, including SQL optimization, data modeling, and ELT pipelines. * Hands-on experience with ETL tools such as Talend, Qlik, Informatica, or AWS Glue. * Familiarity with AWS services, including S3, Glue, and Lambda. * Exposure to DevOps tools such as JIRA, Git, and 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 [email protected] [[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.

You will design, build, and maintain ETL/ELT pipelines while ensuring data quality and integrity within the Enterprise Data Platform. The role involves driving automation and intelligent workflows to optimize data processing and support golden record management.

Candidates must hold a bachelor's degree in Computer Science or a related field and possess at least 3 years of experience in MDM or data engineering. Strong proficiency in SQL, data modeling, and data governance principles is required for this position.

• Health insurance • Tuition reimbursement • Retirement savings plans • Paid time-off programs • Vacation • Sick leave • Holidays

• SQLPreferred
• Amazon Web ServicesPreferred

Identified from the job description. Confirm important requirements above.

• Master Data Management
• Data Engineering
• Data Stewardship
• SQL
• Snowflake
• ETL
• ELT
• Data Quality Management
• Data Modeling
• Automation
• Data Governance
• Reltio
• Semarchy xDM
• AWS
• DevOps
• Inventory Staging
• Reltio (Master Data Management Software)
• Informatica
• Pipelines
• Accountability
• DataOps
• Workflow Management
• Time Off Management
• Git (Version Control System)
• Snowflake (Data Warehouse)
• AI Adoption
• AWS Glue
• Internal Pay Equity
• Acceptance Testing
• Artificial Intelligence
• Amazon S3
• Anomaly Detection
• JIRA
• Reconciliation
• Management
• Decision Making
• Computer Science
• Information Systems
• Continuous Improvement Process
• Data Validation
• Extract Transform Load (ETL)
• Data Quality
• Relational Databases
• Empowerment
• Equities
• Governance
• Innovation
• Key Performance Indicators (KPIs)
• Market Data
• Operations

• Data & Analytics
• Technology
• Software
• Engineering
• Master Data Management Analyst
• Data Center Technician / Engineer
• Database Designers and Administrators
• Computer Occupations, All Other

Minimum education

Bachelor’s degree

Minimum experience

3+ years

Apply by

Sep 4, 2026

Posting language

English

Working hours

40 hours per week