Clarkson On Azure data engineer Jobs – 278 Openings This Week

Data Engineer
Tactable —Toronto, ON
- $140,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- English
- SQL
- Dental care
- Paid time off
Quick apply
Data Engineer
BMO Financial —Toronto, ON
- $61,600–$113,900 a year
- Azure
- SQL
- AWS
- Tuition reimbursement
- Life insurance
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Writing skills
- DevOps
- SQL
- Disability insurance
- Dental care
Quick apply
Database Engineer / Developer
3terra —Mississauga, ON
- $90,000–$110,000 a year
- Full-time
- Hybrid work
- SQL
- Software development
- In-person
- Profit sharing
- Mileage reimbursement
Quick apply
11d
Tech Lead
Tactable —Toronto, ON
- $150,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- English
- Dental care
- Paid time off
Quick apply
Lead Data Scientist
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
11d
Senior Staff Software Engineer, Data Engineering
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Principal Engineer, AI
BMO Financial —Toronto, ON
- $94,600–$176,000 a year
- On call
- Azure
- Computer Science
- Engineering
- Tuition reimbursement
- Life insurance
13d
Software Engineer
Sanofi EU —Toronto, ON
- $125,300–$208,800 a year
- Hybrid work
- Azure
- Computer Science
- Engineering
Developer Lead (AI-Enabled Systems)
BMO Financial —Toronto, ON
- $70,000–$150,000 a year
- Azure
- Oracle
- System design
- Tuition reimbursement
- Life insurance
Security Architect
Chartwell Retirement Residences —Mississauga, ON
- Full-time
- Hybrid work
- Computer Science
- Bachelor's
- No university degree
Senior .NET Developer
Rentsync —Toronto, ON
- $100,000–$120,000 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- SQL
Quick apply
Senior Data Specialist
McKesson —Mississauga, ON
- $99,100–$132,100 a year
- Computer Science
- Engineering
- Master's degree
Sr. Data Specialist
McKesson —Mississauga, ON
- $99,100–$132,100 a year
- Azure
- Management
- Computer Science
Developer Lead (AI-Enabled Systems)
BMO Financial Group —Toronto, ON
- $70,000–$150,000 a year
- Full-time
- Azure
- Oracle
- System design
- Tuition reimbursement
- Life insurance
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
5d
Director Data Engineering
McKesson —Mississauga, ON
- $126,900–$169,200 a year
- Computer Science
- DevOps
- Engineering
AI Data and Integration Engineer
First National Financial —Toronto, ON
- Full-time
- Azure
- Computer Science
- Engineering
Quick apply
Lead AI Architect
McKesson —Mississauga, ON
- $122,100–$162,800 a year
- Azure
- Doctoral degree
- Computer Science
6d
AI Engineer
First National Financial —Toronto, ON
- Full-time
- Azure
- Computer Science
- Engineering
Quick apply

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azure data engineer jobs near clarkson on

Data Engineer

Tactable
Toronto, ON

Quick apply

Job details

Full-time
$140,000–$190,000 a year

Qualifications

Data development experience
Performance tuning
Software engineering
Databricks
Data integration
Azure
Cloud architecture
Continuous Delivery (CD) implementation
Kubernetes
Finance
Relational databases
Infrastructure as Code (IaC)
Coaching
Data quality assurance
Cloud-based ETL
English
Data and database experience
SQL
Cloud engineering experience
Docker
Airflow
Decision making
Mentoring
Software development
Software development or architecture experience
Python
Pipeline

Full job description

Our Mission at Tactable

What if you could build software that didn’t just scale, but transformed entire organizations?

At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.

We don’t just consult. We build.

Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.

From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.

Take a look at to learn more about our work and what sets us apart.

The Role: Data Engineer (Cloud, Python)

This is a hands-on, hybrid role designed for data engineers who thrive at the intersection of infrastructure, pipelines, and product. As a Data Engineer, you’ll be part of a deeply technical team solving real-world data challenges for enterprise clients building robust, cloud-native data platforms, optimizing large-scale workflows, and delivering reliable data systems in production environments.

You’ll have the opportunity to own architectural decisions, drive platform migrations, and mentor others across data and software engineering domains. Whether you're scaling a trading system or modernizing a legacy data warehouse, your work will be high-impact and highly visible.

If you care about clean pipelines, scalable architecture, and building systems that power real users, you’ll thrive at Tactable.

What You’ll Do

End-to-End Data Engineering

Build scalable, reliable ETL/ELT pipelines using Python, and SQL
Design and maintain batch and near–real-time data workflows using Python-based frameworks
Integrate diverse data sources from Azure Blob, ADLS, and both relational and non-relational systems
Migrate legacy data architectures into modern, cloud-native environments
Optimize workloads for performance, cost, and fault tolerance
Ensure data quality, observability, and reliability across pipelines

Technical Leadership

Own critical components of infrastructure across batch and streaming systems
Break down complex technical challenges into executable components
Mentor junior engineers through code reviews, architectural guidance, and technical pairing
Automate and standardize pipelines to reduce overhead and increase velocity
Contribute to internal tooling, documentation, and engineering best practices

Client & Project Exposure

Work directly with client engineering teams in finance, trading, and enterprise tech
Rotate across domains and industries every 6–12 months, gaining broad exposure to systems and technologies
Tackle greenfield builds, system migrations, and enterprise-scale data transformations
Engage as a true partner, not a vendor, in shaping data product strategy

What You Bring

Must-Have Experience

Extensive experience in data engineering or software engineering roles
Strong programming skills in Python
Deep experience building and maintaining production-grade data pipelines
Strong SQL skills and experience working with both structured and unstructured data
Hands-on experience with cloud infrastructure (preferably Azure)
Experience with CI/CD pipelines and infrastructure-as-code practices
Familiarity with data orchestration tools (e.g., Airflow, dbt)
Experience working in containerized environments (Docker, Kubernetes)

Bonus Points For

Experience working in finance, trading, or other regulated / high-performance environments
Experience with Databricks or similar managed data platforms
Strong documentation, collaboration, and knowledge-sharing mindset
Comfort working across the full data lifecycle, from ingestion to analytics and reporting

Why You’ll Love This Role

Growth-First Culture: From custom career paths to project rotation, we design roles around your goals, not just business needs.
Full Ownership & Impact: You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
Tight-Knit Team: We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
Real Work, Real Users: We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
Flexibility with Structure: We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.

Why This Might Not Be a Fit

You’re looking for narrowly scoped responsibilities or long-term focus on a single domain
You prefer a rigid hierarchy with formal titles and isolated workstreams
You’re more comfortable in a vendor-style delivery model than deep technical partnerships

Compensation, Benefits & Perks

Salary Range: $100,000 – $140,000 CAD, based on experience and role fit
Comprehensive health and dental plan
Generous PTO and holidays
Laptop & home office equipment provided
Career coaching and personalized development plans
Regular social events, team outings, and wellness activities

Hiring Process & Transparency

This role is for an active vacancy on our engineering team, not a future talent pool position.
As part of our hiring process, we use AI-assisted screening tools. Candidates who move forward complete an initial screening interview via an AI-based platform, with results reviewed by Human Resources. Selected candidates then proceed to interviews with our engineering team.

Ready to Build the Next Generation of Cloud & Data Infrastructure?

No cover letter required. Just apply, and let’s start building.

Job Type: Full-time

Pay: $140,000.00-$190,000.00 per year

Experience:

Software development: 7 years (required)

Language:

English (required)

Location:

Toronto, ON M5A 1E1 (required)

Work Location: Hybrid remote in Toronto, ON M5A 1E1

Quick apply

Refine Your Search

azure data engineer jobs in clarkson on

Data Engineer

Data Engineer

Specialist - Data Engineering

Database Engineer / Developer

Tech Lead

Lead Data Scientist

Senior Staff Software Engineer, Data Engineering

Principal Engineer, AI

Software Engineer

Developer Lead (AI-Enabled Systems)

Security Architect

Senior .NET Developer

Senior Data Specialist

Sr. Data Specialist

Developer Lead (AI-Enabled Systems)

Staff Software Engineer - Capital One Travel Tech - Full-stack

Director Data Engineering

AI Data and Integration Engineer

Lead AI Architect

AI Engineer

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