Your New Company

Our client is a global mining company 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 are committed to transforming critical minerals into long‑term prosperity and sustainable development—making this an opportunity to contribute to work that truly matters.

About You

You are a senior‑level data modelling specialist with deep expertise in OT data platforms, industrial data structures, and analytics solutions. You understand complex operational environments—such as mining, heavy industry, or manufacturing—and can translate high‑frequency sensor and production data into actionable insights.

You bring a combination of hands‑on technical capability, strong business acumen, and collaborative leadership. You are comfortable 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, governance, 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 models compatible 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 data governance 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 & Governance Engagement

Act as a trusted advisor to business stakeholders on OT data and analytics
Guide democratized users on best practices, performance optimization, and governance
Coordinate with vendors, infrastructure teams, DBAs, and analytics partners
Support vendor deliverables, validate quality, and promote solutions to production
Ensure alignment with security, compliance, and data governance requirements

Documentation & Change Management

Create and maintain comprehensive 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 in computer 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 across complex, 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 data governance, data quality, and security knowledge
Ability to analyze complex datasets and translate them into business insights
Excellent communication skills, with the ability to engage both technical and business stakeholders
Organized, proactive, and adaptable approach in dynamic environments

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 insurance)
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

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Senior Specialist Data Modeller