Senior Specialist, Data Modeler
About this role
Ready to build a rewarding career in an industry that is growing?
The Opportunity
About You
Data Engineering, ETL & Platforms
Build robust ETL/ELT pipelines using:
- Azure Data Factory
- Databricks
- SQL-based frameworks
- Ingest data from diverse sources (databases, APIs, files, applications, IoT, etc.)
- Transform and curate data into trusted, high-quality datasets
- Optimize pipelines for scale, reliability, and performance
- Automate workflows and reduce operational overhead
- Work within Azure environments (resource groups, storage, compute, services)
- Design and develop Power BI semantic models for enterprise reporting and self-service analytics
- Build and optimize dashboards, reports, and visualizations
- Ensure consistency, accuracy, and performance of reporting datasets
- Enable business users through governed and performant semantic layers
- Partner with stakeholders to translate business needs into actionable insights
Advanced Analytics & AI Enablement
Prepare and structure data for AI/ML and advanced analytics use cases
- Collaborate with Data Scientists and Data Engineers on model-ready datasets
- Support use cases such as predictive analytics, anomaly detection, and optimization
- Ensure data pipelines and models are AI-ready and scalable
- Act as a trusted advisor on data modeling, platforms, and best practice
- Collaborate with cross-functional teams, including IT, Data & AI, and business stakeholders
- Guide power users in self-service analytics and governance best practices
- Ensure compliance with data governance, privacy, and security policies
- Evaluate vendor solutions and support implementation and delivery
- Maintain clear documentation of data models, pipelines, and architecture
- Support knowledge sharing, training, and adoption
- Contribute to data platform maturity and continuous improvement initiatives
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, or related field
- Microsoft Azure Certifications
- Azure Data Factory / Databricks Certifications
- Data Engineering / Data Modeling Certifications
- Power BI / Data Visualization Certifications
- AI / Machine Learning Certifications
- Certified Data Management Professional (DAMA)
Experience
8–10+ years in data modeling, data engineering, or analytics
- Strong hands-on experience with:
- SQL Server
- Azure Data Factory
- Databricks
- Power BI
- ETL/ELT frameworks
- Proven experience building end-to-end data pipelines, models, and semantic layers
- Experience working within Azure environments (compute, storage, services)
- Experience supporting BI, analytics, and AI/ML use cases
- Strong experience working in complex, multi-stakeholder environments
Skills
- Advanced data modeling and data engineering expertise
- Strong SQL and data transformation skills (Python preferred)
- Deep understanding of Azure data architecture and cloud platforms
- Experience with Power BI semantic modeling and visualization
- Knowledge of data governance, data quality, and security practices
- Ability to design scalable, high-performance data solutions
- Strong problem-solving and analytical thinking
- Excellent communication and stakeholder engagement skills
- Ability to work in agile, fast-paced 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 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
Company at a glance
We are a global mining company producing iron ore, pellets, and nickel, and we are committed to becoming one of the safest, most trustworthy mining company in the world. With a workforce of 120,000 employees, we work every day to transform natural resources into prosperity and sustainable development for the approximately 30 countries in which we operate.
In addition to mining, we have operations in logistics, energy, and steelmaking. We self-generate 54% of the energy we use, and in Brazil alone, more than 1 million people travel on our passenger trains on the Vitória-Minas and Carajás railroads every year.
We continuously reassert our commitment to the future of our planet by, among other initiatives, protecting 8,500 km² of natural land and investing in R&D to lead the sustainable mining revolution, with the ultimate goal of becoming a carbon-neutral company by 2050.
We are constantly evolving, always aiming to be a diverse and inclusive company. We are pursuing a goal of doubling our female workforce by 2030 and increasing representation among our leadership. Our activities are governed by a policy of transparency, safety and security, ethics, and respect in order to protect the environment and encourage the development of our employees.
We are Vale.
Top Benefits
- Defined contribution pension package
- Health coverage
- Dental coverage
- Flex accounts
- Disability plans
- Optional insurances
- Vacation leave
- Personal leave
- Sick leave
- Parental leave
- Employee family assistance program
- Virtual healthcare
- Online training
- Career development opportunities
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