Ready to build a rewarding career in an industry that is growing?

Who We Are

We are a global mining company dedicated to safely delivering nickel, copper, cobalt, and platinum group metals essential for the world’s energy transition.

Our mission is to improve lives and shape a better future together.

From utensils to cellphones to satellites, our operations simplify daily life and enhance connectivity. Our metals are integral to life-saving medical equipment and the electric vehicles driving the fight against climate change - our work truly matters.

Join our diverse team of 15,000 talented individuals committed to transforming critical minerals into prosperity and sustainable development in countries like Canada, Brazil, Indonesia, the United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and enduring.

The Opportunity

The Specialist, Data Quality Developer is responsible for designing, building, and maintaining enterprise data quality, data catalog, data stewardship, and master data management (MDM) solutions that ensure enterprise data is accurate, consistent, secure, and reliable.

This role supports business decision-making by delivering trusted, high-quality data for analytics, reporting, and AI initiatives. You will operate as a senior hands-on individual contributor who can independently define, configure, deploy, and operationalize data quality rules, cataloging capabilities, stewardship workflows, and governance controls across enterprise data domains.

The position is based in Toronto, ON, CA and reports to the Manager, Data Management and Governance.

About You

You are a senior, detail-oriented data qualified with strong technical expertise in data quality,



data governance, data cataloging, stewardship, privacy, and security. You thrive in complex environments, work with minimal supervision, and are passionate about delivering reliable, high-quality data solutions end to end.

You bring strong analytical thinking, collaboration skills, and the ability to translate business requirements into scalable technical solutions. You are comfortable working across cross-functional teams and enjoy continuous learning in modern data technologies.

In This Role, You Will:

Data Quality & Development

- Design, build, and maintain data quality pipelines for profiling, validation, cleansing, enrichment, and monitoring
- Independently define, configure, deploy, test, and operationalize enterprise data quality rules, thresholds, scorecards, and controls
- Develop exception handling, remediation workflows, root-cause analysis processes, and issue management mechanisms to improve data quality outcomes
- Automate data quality checks to improve reliability, reduce manual effort, and support production operations
- Optimize performance, scalability, resiliency, and fault tolerance of data quality solutions

Master Data Management (MDM)

- Design and implement MDM domain models, canonical data models, hierarchies, reference data structures, match/merge rules, and survivorship logic
- Configure MDM platforms,



onboarding workflows, mastering processes, golden record design, and integrations across source and consuming systems
- Develop ingestion, validation, stewardship, and publication pipelines to support trusted master data across systems
- Establish data standards, crosswalks, deduplication strategies, and data quality controls aligned to governance requirements for critical master data domains
- Support issue resolution, survivorship tuning, hierarchy maintenance, and ongoing operational support for enterprise MDM solutions
- Partner with data stewards and governance teams to establish stewardship workflows, ownership models, critical data elements, business glossaries, and governance controls
- Build integrations between DQ/MDM/catalog platforms and enterprise systems, APIs, data lakes, and cloud data platforms
- Implement and support data cataloging capabilities including metadata harvesting, lineage integration, glossary curation, classification, and tagging
- Support cloud-based data environments (e.g., Azure) and ensure secure, compliant, and governed data movement across platforms
- Apply data security techniques such as tokenization, detokenization, masking, encryption, and access controls for sensitive and regulated data
- Monitor system performance, scalability, and operational health of data quality and governance solutions

Data Governance & Compliance

- Implement and enforce data governance policies, standards, controls, and operating model requirements across critical data domains
- Apply data privacy principles and regulatory requirements by supporting sensitive data identification, classification, retentio

📌 Specialist, Data Quality Developer (Toronto)
🏢 Vale Base Metals
📍 Toronto