Toronto, On Analytics engineer Jobs – 758 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
Software Engineer
SMC Strategic Solutions Inc —Mississauga, ON
- $57 an hour
- Full-time
- Hybrid work
- Oracle
- Microsoft Outlook
- Computer Science
- Dental care
- Paid time off
Quick apply
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Azure
- DevOps
- SQL
- Disability insurance
- Dental care
Quick apply
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
Specialist, IT Planning & Business Partnership – Mineral Processing and Technical Research & Innovation Systems
Vale —Toronto, ON
- $110,000 a year
- Monday to Friday
- Engineering
- English
- Bachelor's
- Dental care
Intermediate Azure Deployment Engineer
AirGate Technologies Inc. —Ontario
- $90,000–$115,000 a year
- Full-time
- Remote
- Azure
- DevOps
- Linux
- Dental care
- Paid time off
Quick apply
AI Platform Engineer
Confidential —Toronto, ON
- $75–$90 an hour
- Contract
- Azure
- DevOps
- Research
Quick apply
3d
Database Engineer
Rakuten Kobo —Toronto, ON
- $92,081–$142,081 a year
- Full-time
- Hybrid work
- Oracle
- Computer Science
- Windows
- Paid time off
- Vision care
Data Management Analyst (12-Month Contract)
CAAT Pension Plan —Toronto, ON
- $96,800–$113,800 a year
- Full-time
- Microsoft Excel
- Oracle
- SQL
- Wellness program
Quick apply
Digital Transformation & AI Director
Scott Mission —Etobicoke, ON
- $110,000–$125,000 a year
- Full-time
- Hybrid work
- CRM software
- Master's degree
- Bachelor's
Quick apply
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
- $187,500–$261,000 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
Sr. Full Stack Data Science Engineer
TD Bank —Toronto, ON
- $154,000–$199,500 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
Ai Engineer
Insight Global —Toronto, ON
- $65–$75 an hour
- Contract
- Hybrid work
- Azure
- SQL
- Financial services
Quick apply
10d
AVP, Infrastructure & Engineering, Technology Data Management
TD Bank —Toronto, ON
- $175,000–$215,000 a year
- Full-time
- Azure
- Computer Science
- Engineering
- Paid time off
7d
Network Tools Engineer and Automation Specialist
BMO Financial —Toronto, ON
- $61,600–$113,900 a year
- DevOps
- Analysis skills
- Scripting
- Tuition reimbursement
- Life insurance
Staff AI Platform Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science
12d
Senior Data Engineer
Tangerine Bank —Toronto, ON
- DevOps
- Communication skills
Data Scientist III
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- Computer Science
- Engineering
- Finance
- Paid time off
7d
Senior Full Stack Developer
Moneris Solutions —Toronto, ON
- $100,000–$142,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- SQL
- Profit sharing
- Paid time off

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analytics engineer jobs near toronto, on

Data Engineer

Tactable
Toronto, ON

Quick apply

Job details

Full-time
$140,000–$190,000 a year

Qualifications

CI/CD
Cloud infrastructure
Azure
Kubernetes
English
SQL
Docker
Software development
APIs
Python

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

analytics engineer jobs in toronto, on

Data Engineer

Software Engineer

Specialist - Data Engineering

Senior Software Engineer

Specialist, IT Planning & Business Partnership – Mineral Processing and Technical Research & Innovation Systems

Intermediate Azure Deployment Engineer

AI Platform Engineer

Database Engineer

Data Management Analyst (12-Month Contract)

Digital Transformation & AI Director

Principal Data Engineer

Full Stack Data Science Engineering Specialist

Sr. Full Stack Data Science Engineer

Ai Engineer

AVP, Infrastructure & Engineering, Technology Data Management

Network Tools Engineer and Automation Specialist

Staff AI Platform Engineer

Senior Data Engineer

Data Scientist III

Senior Full Stack Developer

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