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Added 2 mins ago
CL
Distribution Digital Support Specialist (Bilingual 12 month contract)
Canada Life
Toronto, ON
- Full-time
Use and maintain appropriate procedures and documentation
Added 2 mins ago
Payroll Tax Specialist - Canada
Vensure Employer Solutions
Westmount, QC
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Added 17 mins ago
IS
Maintenance Planning Specialist
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- Full-time
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CL
Distribution Digital Support Specialist (Bilingual 12 month contract)
Canada Life
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RP
Marketing Specialist
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Maintain communication records, contact lists and shared documentation.
Added 17 mins ago
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Added 17 mins ago
VB
Specialist, Data Developer (Microsoft)
Vale Base Metals
Toronto, ON
- Full-time
We are currently seeking a Specialist, Data Developer (Microsoft) to join our Data Platforms & Foundation team within Information Technology (IT), based in Toronto, ON.
Added 17 mins ago
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Vale Base Metals

Specialist, Data Developer (Microsoft)

Toronto, ON, Canada

Minimum Starting Salary: CAD $112,000 · Full-time

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Job details

Pay: Minimum Starting Salary: CAD $112,000
Job type: Full-time
Apply by: Dec 9, 2026
Experience: 8–10 years of experience in data development, data engineering, or related roles
Posting language: English
Posted: Nov 9, 2026

Original job description

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

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and Azure-based data infrastructure, including ETL processes, data lakes, warehouses, semantic models, and analytics environments. Deliver reporting and AI/ML data solutions while ensuring performance, data quality, governance, security, documentation, and effective collaboration with technical teams and business stakeholders.

Requirements

The role requires 8–10 years of experience in data development, data engineering, or a related field, with proven experience building data pipelines, ETL processes, and enterprise data solutions. An undergraduate degree in Computer Science, Data Science, Software Engineering, or a related field is specified, with Azure, data engineering, Databricks, ML/AI, advanced analytics, or data management certifications also listed.

Skills

Data Pipeline Development
ETL
Azure Data Platforms
Data Architecture
Data Lakes
Data Warehousing
Semantic Modeling
Business Intelligence
Analytics
Machine Learning
Artificial Intelligence
Data Governance
Data Quality
Stakeholder Management
IT Service Management
ITIL

Benefits

Variable Annual Incentive Plan
Defined Contribution Pension
Health Coverage
Dental Coverage
Flexible Spending Accounts
Disability Plans
Optional Insurance
Vacation Leave
Personal Leave
Sick Leave
Parental Leave
Employee Family Assistance Program
Virtual Healthcare
Online Training
Career Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Microsoft
Azure
Data Engineering
Data Development
Data Pipelines
ETL
Data Integration
Data Lakes
Data Warehouses
Semantic Models
Batch Processing
Real-Time Processing
Business Intelligence
Dashboards
Advanced Analytics
Machine Learning
Artificial Intelligence
Predictive Analytics
Anomaly Detection
Data Governance
Data Quality
Data Security
ITIL
IT Service Management
Databricks
DAMA
Mining
Nickel
Copper
Cobalt

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