Your NewpanyOur client is a global miningpany dedicated to safely producing nickel, copper, cobalt, and platinum group metals—critical resources powering the world’s energy transition.With a mission to improve lives and shape a better future together, Vale Base Metals plays a vital role in modern life. Their metals are found in everyday technologies, life‑saving medical equipment, and electric vehicles advancing climate‑change solutions.With more than 15,000 employees worldwide, the organization operates across Canada, Brazil, Indonesia, the United Kingdom, and Japan. They aremitted to transforming critical minerals into long‑term prosperity and sustainable development—making this an opportunity to contribute to work that truly matters.
About YouYou are a senior‑level data modelling specialist with deep expertise in OT data platforms, industrial data structures, and analytics solutions. You understandplex operational environments—such as mining, heavy industry, or manufacturing—and can translate high‑frequency sensor and production data into actionable insights.You bring abination of hands‑on technical capability, strong business acumen, and collaborative leadership. You arefortable acting as a subject‑matter expert, guiding best practices, mentoring power users, and engaging stakeholders across technical and non‑technical teams.You are driven to continuously improve data quality, performance,ernance, and usability, while enabling innovation across analytics and AI use cases.
In This Role, You Will:OT Data Modelling & Architecture- Design, develop, and maintain scalable OT and Industrial Automation data models
- Represent key OT entities such as equipment, sensors, telemetry, production events, and maintenance data
- Model high‑frequency, real‑time, and historical datasets across mine sites and plants
- Support digital twin concepts, real‑time operational metrics, and production performance analysis
- Ensure models are fault‑tolerant, preformant, and recoverable
Data Engineering, ETL & Platforms
- Identify OT data sources and collaborate on ETL and data pipeline development
- Design modelspatible with platforms such as Azure Data Services, Data Lakes, Databricks, SQL Server, SAP Datasphere, and Power BI
- Automate data workflows to improve reliability and reduce manual intervention
- Optimize model performance for large‑scale and high‑velocity data environments
- Align data designs with enterprise dataernance and architecture standards
Reporting, Analytics & BI- Build and support data models for Power BI, SAP Analytics Cloud, Business Objects, and planning solutions
- Deliver high‑quality dashboards and reports that provide actionable operational insights
- Support drill‑down and drill‑through reporting capabilities
- Ensure data accuracy, integrity, and performance across reports and analytics solutions
- Partner with stakeholders to understand data needs and define analytics use cases
Advanced Analytics & Innovation- Collaborate with Data Scientists and Engineers on AI/ML and advanced analytics solutions
- Support data modelling for predictive analytics, anomaly detection, and optimization use cases
- Identify and prepare OT data sources for machine learning and AI initiatives
Stakeholder, Vendor &ernance Engagement- Act as a trusted advisor to business stakeholders on OT data and analytics
- Guide democratized users on best practices, performance optimization, andernance
- Coordinate with vendors, infrastructure teams, DBAs, and analytics partners
- Support vendor deliverables, validate quality, and promote solutions to production
- Ensure alignment with security,pliance, and dataernance requirements
Documentation & Change Management- Create and maintainprehensive solution documentation, including data models, mappings, and architecture diagrams
- Support training and knowledge transfer to peers and stakeholders
- Contribute to continuous improvement and data maturity initiatives
Education:- Bachelor’s degree inputer science, Data Science, Software Engineering, or a related field
- Certifications (Preferred)
- OSIsoft (AVEVA) PI System Infrastructure Certification
- ISA Certified Automation Professional (CAP)
- Azure Cloud certifications
- SAP Analytics or Datasphere certifications
- Databricks, Data Modelling, Data Visualization, or AI/ML certification
- Certified Data Management Professional (DAMA)
Experience:- 8–10+ years of experience in data modelling, analytics, or data platform roles.
- Strong experience with OT and Industrial Automation data, preferably in mining, heavy industry, or manufacturing environments
- Proven expertise modelling time‑series, sensor, telemetry, production, and maintenance data.
- Hands‑on experience with Azure, Databricks, SQL Server, Power BI, SAP Analytics, and data pipeline tools
- Experience supporting AI/ML and advanced analytics solutions
- Demonstrated ability to work acrossplex, multi‑stakeholder environments
- Experience managing vendors and coordinating cross‑functional delivery teams
Skills:- Expert‑level data modelling and analytics skills in OT and industrial contexts
- Strong understanding of OT systems, SCADA, PI systems, and industrial data flows
- Proficiency in SQL and scripting languages (Python preferred)
- Strong dataernance, data quality, and security knowledge
- Ability to analyzeplex datasets and translate them into business insights
- Excellentmunication skills, with the ability to engage both technical and business stakeholders
- Organized, proactive, and adaptable approach in dynamic environments
What We Offer You- Participation in apetitive Defined Contribution Pension package
- 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