Senior data analytics engineer Jobs

Senior Data Engineer
HealthPRO Procurement Services —Oakville, ON
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Schematics
- Wellness program
- Disability insurance
Quick apply
22h
Staff Software Engineer (Data)
DocuPet —Remote
- $140,000–$180,000 a year
- Full-time
- Remote
- English
- SQL
- AWS
- Dental care
- Paid time off
Quick apply
Senior Data Analytics Engineer
Science&Humans —Mississauga, ON
- $100,000–$140,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Communication skills
- Analytics
Quick apply
Senior Data Engineer
Nexaminds —Remote
- Remote
- Azure
- English
- SQL
- Flexible schedule
Quick apply
7d
Senior Data Engineer - Derivatives Trading Analytics
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Senior Data Engineer - Real time analytics
Aircall —London, ON
- Full-time
- Computer science
- Computer Science
- SQL
Senior Data Analytics Engineer
BMO Financial Group —Toronto, ON
- $67,200–$124,200 a year
- Full-time
- Java
- SQL
- AWS
- Tuition reimbursement
- Life insurance
Senior Data Engineer (Cloud Data Integration)
Tri-global Solutions Group Inc. —Remote
- Up to $110 an hour
- Contract
- Remote
- Azure
- Computer Science
- Databases
Senior Data Engineer
WellnessLiving —Remote
- $120,000–$140,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- Engineering
Quick apply
Senior Analytics Data Engineer
ENERCARE —Markham, ON
- $84,264–$130,609 a year
- Full-time
- Azure
- DevOps
- SQL
Quick apply
Data Engineer
PocketHealth —Remote
- $100,000–$130,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- SQL
- Paid time off
Senior Data Engineer
Datatonic —Montréal, QC
- $110,000–$140,000 a year
- Full-time
- Remote
- Java
- SQL
- AWS
- Designated paid holidays
Senior Data Engineer
NimbleRx —Toronto, ON
- $175,000–$230,000 a year
- Weekends as needed
- Hybrid work
- Java
- Databases
- SQL
- Designated paid holidays
- Dental care
12d
Senior Analytics Engineer
Roofr —Toronto, ON
- $120,000–$140,000 a year
- Remote
- SQL
- Analytics
- Paid time off
Quick apply
11d
Senior Software Engineer - Python and Data Ecosystem
Clickhouse —Remote
- Remote
- Databases
- SQL
- Software development
- Paid time off
Senior Data Engineer
Fullscript —Calgary, AB
- $110,000–$140,000 a year
- Full-time
- Remote
- SQL
- Leadership
- Python
- Paid time off
Quick apply
Senior Manager, Data Analytics
Walmart Canada —Mississauga, ON
- $109,400–$150,480 a year
- Full-time
- Presentation skills
- Bachelor's
- No university degree
Senior Data Engineer
MealSuite —Cambridge, ON
- $115,000–$140,000 a year
- Full-time
- Hybrid work
- Schematics
- SQL
- APIs
- Disability insurance
- Dental care
Quick apply
Electrical Engineer
Airtek Systems Inc —Edmonton, AB
- $95,000–$130,000 a year
- Full-time
- Schematics
- CAD
- Engineering
- Paid time off
Quick apply
7d
Senior Software Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- Java
- Disability insurance
- Dental care
Quick apply
12d

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Senior Data Engineer

HealthPRO Procurement Services -
Oakville, ON

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Job details

Permanent | Full-time
$120,000–$140,000 a year
22 hours ago

Qualifications

CI/CD
Power BI
Azure
Computer Science
Schematics
Enterprise software
Engineering
Information Systems
SQL
Bachelor's
Purchasing
Pair programming
Data warehouse

Full job description

Who We Are

HealthPRO Canada is the country’s national solutions partner, supporting over 2,100 publicly funded healthcare organizations. Beyond optimizing procurement, we advance system innovation, strengthen supply resilience, and unlock capacity so health systems can support better care to Canadians. We put decades of knowledge and the purchasing volumes of more than 2,100-member healthcare facilities across Canada to work.

Job Description

We are looking for a Senior Data Engineer who will take ownership of our data platform, working hands-on with data pipelines, dimensional models, and integration processes that support decision-making across the organization.

You will work closely with an experienced delivery team through structured pair programming and hands-on collaboration during your onboarding period. You will learn the architecture, patterns, and design decisions firsthand. From there, you will be responsible for extending the platform to additional systems, onboarding new data sources, maintaining data quality, and supporting the organization's growing analytics needs.

This is an opportunity to be a key part of HealthPRO Canada's data engineering function and to shape the analytics infrastructure for the organization.

Responsibilities

Design, build, test, and deploy data pipelines and integration processes across our analytics platform.
Develop and maintain solutions using Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
Implement transformation logic, orchestration workflows, scheduling, monitoring, and error handling for reliable data processing.
Onboard new data sources, including internal enterprise systems and external third-party sources (e.g., supplier feeds, member systems, external platforms).
Build and maintain incremental and delta load patterns for all source system integrations.
Work with Kimball dimensional modeling patterns, including conformed dimensions, fact tables at transactional grain, and slowly changing dimensions (SCD Type 1 and Type 2).
Maintain and extend the enterprise data model as new systems and subject areas are integrated.
Perform data validation, reconciliation, and data quality checks to ensure accurate and trusted outputs.
Support data governance processes, including data classification, lineage documentation, and metric certification in Power BI.
Troubleshoot production issues, resolve pipeline failures, and optimize performance and reliability.
Create and maintain technical documentation including source-to-target mappings, pipeline specifications, transformation rules, runbooks, and operational procedures.
Own monitoring dashboards for pipeline health, data quality scores, and data freshness.
Collaborate with business stakeholders and analysts to ensure data solutions align with reporting and analytics requirements.

Qualifications

Required

5+ years of hands-on experience in data engineering, data integration, or data warehouse development.
Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, or Microsoft Fabric.
Strong SQL skills and experience building ETL/ELT pipelines, transformation logic, and orchestration workflows.
Hands-on experience with Kimball dimensional modeling, including star and snowflake schemas, conformed dimensions, fact tables, and slowly changing dimensions.
Experience with Power BI, including semantic models, certified datasets, and row-level security.
Experience with data quality controls, reconciliation processes, and monitoring.
Experience creating and maintaining technical documentation (source-to-target mappings, runbooks, pipeline specs).
Strong problem-solving skills and ability to work independently after an initial ramp-up period.

Preferred

Experience working with enterprise systems such as Dynamics 365, Business Central, or similar CRM and finance platforms.
Experience integrating external or third-party data sources (supplier feeds, partner systems, industry data platforms).
Experience with CI/CD pipelines for data platform deployment.
Experience with data governance practices, data classification, and metric governance.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.

Why Join Us

Most data engineering roles are narrowly scoped. This one gives you real ownership.

You will work alongside an experienced delivery team during your onboarding, learning the architecture through hands-on pair programming rather than just reading documentation. You will understand not just what exists, but why every design decision was made.

From there, you will take ownership. You will extend the platform to additional systems, onboard new data sources, and evolve the analytics capabilities for an organization that is investing seriously in data-driven decision-making. This is a role with real accountability and long-term impact.

Recruitment Process
AI tools may be used during parts of the recruiting process to support screening and evaluation.

This is a newly created role. We are actively reviewing applications.

At HealthPRO Canada, we believe diverse perspectives and meaningful inclusion strengthen our team. We welcome qualified candidates from all backgrounds, lived experiences, and identities to apply.

Pay: $120,000.00-$140,000.00 per year

Benefits:

Company events
Company pension
Dental care
Disability insurance
Employee assistance program
Extended health care
Life insurance
On-site parking
Paid time off
Vision care
Wellness program

Ability to commute/relocate:

Oakville, ON L6H 6K8: reliably commute or plan to relocate before starting work (preferred)

Application question(s):

What are your salary expectations for the role?
Do you have Bachelor's degree in Computer Science, Information Systems, Date Engineering, or a related field?
Do you have at least five years of hands-on experience, in data engineering, date integration, or date warehouse development?
Do you have hands on experience with Azure Data Factory, Azure Synapse Analytics, or Microsoft Fabric?
Do you have hands-on experience with Kimball dimensional modeling, including star and snowflake schemas, conformed dimensions, fact tables, and slowly changing dimensions?

Work Location: Hybrid remote in Oakville, ON L6H 6K8

Quick apply

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