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Vale Base Metals
$112,000+ / year
Job summary
Design, build, and maintain scalable Azure-based data infrastructure and ETL pipelines to support analytics and AI initiatives. Collaborate with cross-functional teams to deliver actionable insights through reporting, dashboards, and optimized data models.
Job details
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 We are currently seeking a Specialist, Data Developer (Microsoft) to join our Data Platforms & Foundation team within Information Technology (IT), based in Toronto, ON. This is a critical role focused on designing, building, and maintaining scalable data infrastructure and solutions that enable the collection, storage, and processing of large volumes of data across the organization. In this position, you will play a key role in ensuring that data is reliable, accessible, and optimized for analytics, reporting, and AI initiatives—supporting improved decision-making, operational efficiency, and business performance. You will report to the Manager, Data Platforms and Foundation and work closely with cross-functional teams including data scientists, analysts, architects, and business stakeholders. About You You are a highly skilled data professional with deep expertise in modern data platforms, cloud technologies, and advanced analytics solutions. You thrive in complex environments and excel at building scalable, reliable, and high-performance data pipelines and architectures. You bring a strong mix of technical depth and business acumen, with the ability to translate data requirements into impactful solutions. You are collaborative, detail-oriented, and passionate about leveraging data to drive innovation and business value. You are comfortable working with large data sets, emerging technologies, and cross-functional teams, while maintaining a strong focus on data quality, governance, and continuous improvement. Key Responsibilities: In This Role, You Will Data Pipeline Development Design, develop, and optimize scalable data pipelines for ingesting, transforming, and distributing data across multiple systems Build and maintain ETL processes to prepare, cleanse, and transform data from diverse sources (databases, APIs, files, IoT, applications) Automate workflows to improve reliability and reduce manual intervention Ensure pipelines are fault-tolerant, performant, and aligned with data governance standards Data Architecture & Infrastructure Configure and manage Azure-based data platforms and services for data processing and storage Build and maintain data lakes, warehouses, semantic models, and analytics environments Ensure data solutions support both batch and real-time processing needs Monitor scalability, performance, and health system to support business growth Business Intelligence & Analytics Develop and maintain end-to-end data solutions for reporting, dashboards, and advanced analytics Integrate data from multiple sources to support business decision-making Deliver innovative solutions using modern analytics, AI, and visualization tools Collaborate with stakeholders to define data requirements and deliver actionable insights Reporting & Data Insights Develop reports and dashboards that provide actionable insights into performance and operations Optimize queries, models, and data structures to improve reporting performance Ensure data accuracy, integrity, and consistency across reporting solutions Communicate insights clearly to both technical and non-technical stakeholders Machine Learning & Innovation Collaborate with data scientists to build, optimize, and deploy ML/AI models Develop data pipelines to support advanced analytics and AI initiatives Identify opportunities for innovation using predictive analytics, anomaly detection, and emerging technologies Governance, Compliance & Monitoring Ensure data practices comply with governance frameworks, security standards, and regulatory requirements Monitor data quality, pipeline performance, and model accuracy Implement controls to protect sensitive data and ensure data integrity Collaboration & Vendor Management Partner with cross-functional teams including architecture, data science, analytics, and business units Manage relationships with vendors and ensure delivery of high-quality solutions Support transition of solutions from development into production environments Documentation & Change Management Maintain comprehensive documentation for data pipelines, architecture, and processes Support knowledge sharing, training, and stakeholder communication Contribute to continuous improvement and adoption of best practices Experience & Education 8–10 years of experience in data development, data engineering, or related roles Proven experience building data pipelines, ETL processes, and enterprise data solutions Undergraduate degree in Computer Science, Data Science, Software Engineering, or a related field Certifications Azure Cloud certifications Data Engineering / Data Development certifications Databricks, ML/AI, or Advanced Analytics certifications Certified Data Management Professional (DAMA) Skills: Advanced knowledge of IT service management and end user services Strong understanding of ITIL and service management best practices Experience leading teams and influencing stakeholders across regions Strong communication and stakeholder management skills Ability to operate effectively in high‑pressure, 24x7 operational environments Structured, analytical, and service‑oriented mindset Focus on standardization, automation, and continuous improvement What We Offer You Competitive compensation including a variable annual incentive plan Participation in a competitive Defined Contribution Pension package Comprehensive 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 growth Employee Family Assistance Program Virtual Healthcare online Online training and career development opportunities Why Toronto Toronto, 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 Transform At 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 opportunity 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: F3T Minimum Starting Salary: CAD $112,000 Apply by: Friday, Aug 14, 2026 #ValeBaseMetals
What you’ll do
Design, build, and maintain scalable Azure-based data infrastructure and ETL pipelines to support analytics and AI initiatives. Collaborate with cross-functional teams to deliver actionable insights through reporting, dashboards, and optimized data models.
Requirements
Requires 8-10 years of experience in data engineering and a bachelor's degree in Computer Science or a related field. Proficiency in Azure, Databricks, and modern data platform architectures is essential.
Benefits
• Variable annual incentive plan • Defined Contribution Pension package • Health and dental coverage • Flex accounts • Disability plans • Optional insurances • Vacation • Personal leave • Sick leave • Parental leave • Employee Family Assistance Program • Virtual Healthcare online • Online training and career development opportunities
Listed skills
- Machine learning · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Pipeline Development
- ETL Processes
- Azure Cloud
- Data Architecture
- Business Intelligence
- Machine Learning
- Data Governance
- ITIL
- Stakeholder Management
- Data Modeling
- Predictive Analytics
- Databricks
- API Integration
- IoT Data Processing
- SQL Optimization
- Change Management
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
