Ready to build a rewarding career in an industry that is growing?Who We AreWe 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 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 OpportunityThe Senior Specialist, Data Modeler (Microsoft) is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and modern data platforms in Toronto, ON.This role ensures that enterprise data is reliable, governed, and optimized for reporting, analytics, and AI-driven decision-making. The incumbent plays a critical role in enabling business intelligence, operational efficiency, and strategic planning by transforming complex data from multiple sources—including databases, APIs, IoT devices, and applications—into structured, high-quality closely with data scientists, developers, analysts, and business stakeholders, the Senior Specialist ensures that data solutions are performant, scalable, and aligned with enterprise data governance standards.You will report to the Manager, Data Reporting and Visualization and collaborate with cross-functional teams including Data & AI, IT, business stakeholders, and external vendors.About YouYou are a senior-level data modeling skilled with deep expertise in Microsoft data platforms, cloud-based data architecture, and modern analytics ecosystems. You have strong experience working with large-scale, complex data sets and building high-performance data models to support reporting, analytics, and AI use cases.You bring strong hands-on technical skills in SQL Server, Azure Data Factory, Databricks, and ETL frameworks, combined with a solid understanding of data governance, architecture, and performance are a collaborative partner who can work across technical and business teams, translating requirements into scalable data solutions. You are comfortable guiding power users, supporting democratized data environments, and driving best practices in modeling, governance, and performance.You are passionate about improving data quality, enabling AI and advanced analytics, and delivering impactful insights through dashboards, reporting, and data products.In This Role, You Will:Data Modeling & ArchitectureDesign, develop, and maintain scalable data models across Microsoft ecosystems (SQL Server, Analysis Services, Databricks, ADF)Integrate data from multiple sources including databases, APIs, files, applications, and IoT devicesBuild efficient models for reporting, analytics,



and AI solutionsDesign models that support drill-down and drill-through reporting functionalityEnsure models are fault-tolerant, recoverable, and optimized for high performanceAlign models with enterprise data governance and architectureData Engineering, ETL & PlatformsIdentify data sources and collaborate with developers to build ETL pipelinesDevelop ETL processes using SSIS, ADF, Databricks, and related toolsAutomate workflows to improve reliability and reduce manual interventionOptimize pipelines and models to process large datasets efficientlySupport data integration with Data Lakes, Data Hubs, and enterprise platformsReporting, Analytics & BIDesign and support data models for Power BI and enterprise reporting toolsBuild and optimize reports, dashboards, and visualizationsEnsure data accuracy, integrity, and performance across reporting solutionsCollaborate with stakeholders to gather requirements and deliver insightsEnable data-driven decision-making across business functionsAdvanced Analytics & AI EnablementCollaborate with Data Scientists and Engineers to support machine learning solutionsPrepare and model data for predictive analytics, anomaly detection, and AI use casesBuild pipelines and models supporting advanced analytics initiativesStakeholder, Vendor & Governance EngagementAct as a trusted advisor on data modeling, reporting, and analytics best practicesGuide power users and democratized teams on governance and performance optimizationCollaborate with vendors, infrastructure teams, DBAs, and developersEnsure compliance with data governance, privacy, and security standardsEvaluate vendor deliverables and support production rolloutsDocumentation & Change ManagementCreate and maintain comprehensive documentation (models, mappings, architecture)Provide training and knowledge transfer to stakeholders and peersSupport communication, presentations, and change management initiativesContribute to continuous improvement and data maturity programsEducation:Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related fieldCertifications (Preferred)Azure Cloud CertificationsMicrosoft (ADF, SSIS, Analysis Services) CertificationsDatabricks CertificationsData Modeling / Data Engineering CertificationsData Visualization or BI CertificationsAI / Machine Learning CertificationsCertified Data Management Professional (DAMA)Experience:8–10+ years of experience in data modeling, data engineering, or analytics rolesStrong hands-on experience with Microsoft data stack (SQL Server, SSIS, SSAS, ADF, Azure, Databricks)Experience building ETL pipelines, data models, and reporting solutionsExperience supporting BI, analytics, and AI/ML use casesProven ability to work across complex, multi-stakeholder environmentsExperience collaborating with vendors and cross-functional teamsExperience in mining, heavy industry,



or similar domains is an assetSkills:Expert data modeling and ETL development skillsStrong proficiency in SQL, Python, and data scripting languagesDeep understanding of cloud data platforms and architecture (Azure preferred)Strong knowledge of data governance, data quality, and security practicesExperience with BI tools such as Power BI and data visualization techniquesAbility to analyze complex datasets and translate into actionable insightsStrong communication and stakeholder engagement skillsProject management, prioritization, and problem-solving capabilitiesAbility to work in agile, fast-paced, and evolving environmentsWhat We Offer YouCompetitive compensation including a variable annual incentive planParticipation in a competitive Defined Contribution Pension packageComprehensive benefits package (company paid core coverage, health and dental coverage, flex accounts, disability plans, and optional insurances)Leave for all of life’s reasons (vacation, personal, sick, parental)Work culture dedicated to safety, diversity & inclusion, and career growthEmployee Family Assistance ProgramVirtual Healthcare onlineOnline training and career development opportunitiesWhy TorontoToronto, Canada’s largest city and financial hub, is a center of innovation, commerce, and culture. Known for its diverse economy and vibrant urban environment, Toronto offers unparalleled access to talent, technology, and global connectivity.Our Toronto office serves as a strategic hub for corporate functions, technology development, and business operations. Here, we drive initiatives that support Vale Base Metals’ global operations, leveraging advanced analytics, digital transformation, and strategic planning to ensure operational excellence across all regions.Toronto’s dynamic ecosystem enables collaboration with leading technology partners, universities, and research institutions, fostering innovation in mining and metals processing. This location is integral to shaping the future of sustainable mining and advancing our commitment to responsible resource development.Include to TransformAt Vale Base Metals, we are committed to ensuring an inclusive work environment where people feel comfortable to be themselves. Vale encourages everyone to express their ideas and opinions and values the plurality of individual profiles. We want our people to feel that all.We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are critical to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation, or any other personal consideration that makes us different.Vale is an equal opportunity employer seeking to increase diversity across our operations and improve equal chance at Vale and in the mining industry.Accommodation is available throughout our recruitment process for applicants with disabilities.Vale uses artificial intelligence to screen, assess, and/or select applicants for this position.Pay Grade: F2TMinimum Starting Salary: CAD $119,000Apply by: Friday, Jun 05, 2026#ValeBaseMetals#J-18808-Ljbffr

📌 Senior Specialist, Data Modeler (Microsoft - C$119,000 A Year (Toronto)
🏢 Vale Base Metals
📍 Toronto