Jobs in Canada

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Added 13 days ago
Senior Manager, Analytics and Insights
TD
Toronto, ON
Full-time
…visualization tools (i.e., SQL, Hadoop, R, Python, Microsoft Azure / Databricks, Tableau / Power BI,…
Added 13 days ago
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
Full-time
Familiarity with Azure Data Services, Databricks, Spark, and distributed data processing frameworks is considered an asset.
Added 13 days ago
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
Temporary · Remote
We’re looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 13 days ago
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
Temporary · Remote
We’re looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 13 days ago
AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
Full-time
You have experience with cloud platforms, preferably Microsoft Azure, including Azure Databricks, Azure Machine Learning, AI Foundry, App Services, AKS, and Blob Storage.
Added 13 days ago
Full Stack Developer (Azure Databricks, Oracle, Firco)
CIBC
Toronto, ON
Full-time
…change the way that people bank. As a Consultant, Full Stack Developer you will be joining the Enterprise Anti-Money Laundering Technology group working in the Global Screening Solutions…
Added 13 days ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Experience with cloud platforms (AWS, Azure, GCP), data science cloud-based tools (e.g., Databricks), MLOps practices, and production deployment.
Added 13 days ago
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$90 to $100 CAD / hour
Contract
Support modern data platforms: Develop and execute test strategies for Azure-based data solutions, including Azure Databricks, Spark SQL, Delta Lake, PySpark, Azure Data Lake Storage, Azure…
Added 14 days ago
AI Full Stack Developer
Synechron
Halifax, NS
$120,000 to $125,000 CAD / year
Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern…
Added 14 days ago
Director, Data Platform Engineering
TD
Toronto, ON
Full-time
…the Global Transaction Banking (GTB) Data Platform. Built on Databricks, the platform serves as the foundation for next-generation data products, advanced analytics, AI-driven insights,…
Added 14 days ago
Senior Full-Stack Software Engineer
Manulife
Toronto, ON
Full-time
Based on the role details you provided, here's a polished and engaging job posting designed to attract senior-level software engineering talent while highlighting the impact, technology…
Added 14 days ago
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
Full-time
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and…
Added 14 days ago
Senior Software Developer
General Motors
Oshawa, ON
Full-time
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and…
Added 14 days ago
Senior Software Developer
General Motors
Markham, ON
Full-time
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and…
Added 14 days ago
Manager, Business Intelligence Finance
Apotex
Toronto, ON · North York, ON
$109,933.56 to $153,906.58 CAD / year
Relevant Databricks certifications are preferred (for example, Databricks Certified Associate Developer for Apache Spark).
Added 14 days ago
Ingénieur(e) Senior, Plateforme de Données
Astek
Montreal, QC
Full-time
Plateformes cloud et données Microsoft : Fabric, Azure, Databricks, Purview
Added 15 days ago
AI Governance Lead – Data Governance & CDGC
KData AI
Brampton, ON
Full-time
Experience with cloud data platforms such as Databricks, Snowflake, Azure Data Lake, or Azure Data Factory.
Added 15 days ago
Senior Analytics Engineer, Enterprise Analytics & Advisory
CIBC
Toronto, ON
Full-time
…models utilizing various tools and cloud technologies (Power BI, Databricks, Alteryx, Azure, and GCP). Consult and upskill wider data teams and stakeholders on tools within the semantic…
Added 15 days ago
Lead Data Solution Architect, Fund Administration Technology
Manulife
Toronto, ON
Full-time
Present strategic recommendations and architectural solutions to senior and executive leadership.
Added 15 days ago
Senior Data Engineer
Tactable
Toronto, ON
Full-time
The Role: Senior Data Engineer (Cloud, Python)
Added 15 days ago
Junior Data Developer
Vancouver Coastal Health
Vancouver, BC
$35.37 to $50.85 CAD / hour
Full-time
Experience with cloud platforms such as Azure, AWS, or GCP and related data services (e.g Azure Data Factory, Azure Databricks, Azure Data Lake) would be an asset.
Added 15 days ago
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$80 to $95 CAD / hour
Contract
…journey and is open to exploring the advanced functionality of Databricks. The successful contractor will work on a daily basis with the Data Engineer Lead and client stakeholders, within a…
Added 15 days ago
Data Speaclist
AgileGrid Solutions
Canada
Full-time
We are seeking a highly skilled Senior Data Specialist to join our dynamic team. In this role, you will provide technical leadership in designing, developing, and optimizing cloud-native…
Added 16 days ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
…ML, and Cloud Migration & Modernization - all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500…
Added 16 days ago
IT Reporting Specialist
MHI RJ Aviation Group
Mississauga, ON
Full-time
IT Reporting Specialist role is a highly visible role interfacing directly with senior business leaders, IT, and data platform teams and is instrumental in ensuring MHIRJ’s leaders have the…

AgileGrid Solutions

Data Speaclist

Canada

Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

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Original job description

About The Company

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About The Role

We are seeking a highly skilled Senior Data Specialist to join our dynamic team. In this role, you will provide technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on Azure Databricks. Your expertise will be instrumental in building enterprise-scale data pipelines, implementing modern lakehouse architectures, and enabling the creation of trusted, high-quality data products that support analytics, artificial intelligence, machine learning, and strategic business decision-making.

The ideal candidate will possess deep hands-on experience with Databricks, PySpark, advanced SQL, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Delta Lake, Delta Live Tables (DLT), and Change Data Capture (CDC) frameworks. You will play a pivotal role in designing and supporting robust Medallion Architecture patterns, while ensuring data quality, performance, security, and governance across the enterprise. Collaborating closely with architects, product teams, analytics stakeholders, and governance teams, you will deliver scalable, reusable, and production-ready data engineering solutions within a highly regulated environment.

Qualifications

To succeed in this role, candidates should possess a strong technical background combined with relevant industry experience. A bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is required; a master's degree is preferred. Candidates should have at least 7+ years of experience in data engineering and enterprise data platform development, with a minimum of 3+ years of deep hands-on experience with Azure Databricks in production environments.

Proficiency in designing, building, and supporting enterprise-grade data solutions using Azure Databricks, PySpark, and advanced SQL is essential. Extensive experience with Azure Data Factory, Azure Data Lake Storage, Delta Lake, Delta Live Tables, CDC, and Medallion Architecture is required. Knowledge of data modeling, data warehousing, metadata management, and governance best practices is crucial. Additionally, familiarity with CI/CD processes, automated testing, and troubleshooting complex data pipelines is necessary.

Preferred qualifications include experience with Snowflake, Kafka, streaming architectures, AI/ML workloads, and certifications in Azure and Databricks, which are highly desirable.

Responsibilities

Design, build, and optimize large-scale data pipelines utilizing Azure Databricks, PySpark, and advanced SQL techniques.
Develop and maintain batch and near real-time data ingestion frameworks using Azure Data Factory, Delta Lake, and CDC methodologies.
Create and support modern Lakehouse solutions leveraging Medallion Architecture, including Bronze, Silver, and Gold layers.
Implement Delta Live Tables pipelines to enhance data reliability, maintainability, and quality.
Develop scalable and resilient ETL/ELT frameworks capable of processing high-volume enterprise datasets efficiently.
Optimize Spark workloads, including job orchestration, partitioning strategies, and SQL performance tuning for large-scale environments.
Establish and maintain data quality validation frameworks, lineage tracking, metadata management, and governance controls.
Implement automated testing and reconciliation processes to ensure data accuracy, completeness, and consistency.
Collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring alignment with enterprise standards.
Drive engineering best practices, conduct code reviews, promote CI/CD adoption, and develop reusable frameworks.
Mentor junior engineers, providing technical guidance and support on Databricks and Azure-based implementations.
Evaluate emerging Azure and Databricks capabilities, recommending enhancements to improve platform performance and operational efficiency.

Benefits

McKesson offers a comprehensive and competitive benefits package as part of our Total Rewards program. Our offerings include health insurance, retirement plans, paid time off, professional development opportunities, and wellness programs. The company values work-life balance and provides flexible working arrangements to accommodate personal needs. We also support continuous learning through training and certification programs, fostering growth and career advancement within the organization. Compensation is aligned with industry standards and reflects experience, skills, and performance, with additional incentives such as annual bonuses or long-term incentives available based on individual and company performance.

Equal Opportunity

McKesson is an Equal Opportunity Employer that provides equal employment opportunities to all applicants and employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to fostering an inclusive environment where everyone can thrive. For additional information on our Equal Employment Opportunity policies, please visit our website. We also offer reasonable accommodations to applicants with disabilities during the hiring process. If you require assistance,

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More about this job

Responsibilities

Design, build, and optimize large-scale cloud-native data pipelines and Lakehouse solutions using Azure Databricks and PySpark. Establish data quality frameworks and mentor junior engineers while ensuring alignment with enterprise governance standards.

Requirements

Requires a bachelor's degree and at least 7 years of data engineering experience, with 3+ years specifically in Azure Databricks production environments. Proficiency in PySpark, advanced SQL, and Medallion Architecture is essential.

Skills

Azure Databricks
PySpark
SQL
Azure Data Factory
Azure Data Lake Storage
Delta Lake
Delta Live Tables
Change Data Capture
Medallion Architecture
Data Engineering
ETL/ELT
Data Modeling
CI/CD
Data Governance
Spark Optimization
Lakehouse Architecture

Benefits

Health Insurance
Retirement Plans
Paid Time Off
Professional Development Opportunities
Wellness Programs
Flexible Working Arrangements
Training And Certification Programs
Annual Bonuses
Long-term Incentives

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
PySpark
SQL
Azure Data Factory
ADLS
Delta Lake
Delta Live Tables
CDC
Medallion Architecture
Lakehouse
ETL
ELT
Data Engineering
Data Modeling
Data Warehousing
Metadata Management
CI/CD
Automated Testing
Snowflake
Kafka
Streaming Architectures
AI/ML
Azure Certification
Databricks Certification
Healthcare
Data Governance
Spark Tuning
Data Pipelines
Enterprise Data Platform
Cloud-native

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