Toronto, On Platform engineer python Jobs – 1140 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
13d
Infrastructure Automation Engineer (On‑Prem)
Moneris Solutions —Toronto, ON
- $142,000–$186,000 a year
- Full-time
- Hybrid work
- Scripting
- Computer networking
- In-person
- Profit sharing
- Paid time off
GenAI Platform Engineer - Python
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Bachelor's
Data Engineer, Platform
Spotify —Toronto, ON
- $103,321–$147,602 a year
- Engineering
- AI
- Python
- Designated paid holidays
- Dental care
Staff/Lead Python Engineer (ML Platform/Ops)
Mimica —Toronto, ON
- Full-time
- Remote
- English
- Software development
- Python
- Paid time off
- Flexible schedule
Digital Customer Engineer
TP Canada —Toronto, ON
- $75,000 a year
- Full-time
- Computer Science
- Sales
- Java
6d
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
13d
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Azure
- DevOps
- SQL
- Disability insurance
- Dental care
Quick apply
Sr. Firmware Engineer - Embedded Systems
Romet Limited Canada —Mississauga, ON
- $80,000–$100,000 a year
- Computer Science
- Schematics
- Engineering
AI Engineer
KUBRA —Mississauga, ON
- $110,000–$130,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Analysis skills
- Tuition reimbursement
Quick apply
Python Developer (Insurance Data & Batch Processing) - 1 or 2 days per week onsite Hybrid
Phaa softwaresolutions —Toronto, ON
- Contract
- Hybrid work
- Azure
- SQL
- AWS
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
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Staff AI Software Engineer
Sanofi EU —Toronto, ON
- $144,100.00–$208,166.66 a year
- Hybrid work
- Azure
- Java
- Master's degree
Software Engineer (QA)
QMC Metering Solutions —North York, ON
- $75,000–$95,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- Databases
- Wellness program
- Commuter benefits
Quick apply
Software Engineer – Cloud & Python
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer science
- Oracle
- Computer Science
Patient Experience iCare Exchange Integrations Engineer
Sanofi EU —Toronto, ON
- $93,900.00–$135,633.33 a year
- DevOps
- English
- Master's degree
Lead Java Platform Engineer (Payments Processing) - Senior Vice President
Citi —Mississauga, ON
- $145,100–$217,700 a year
- Full-time
- Oracle
- DevOps
- Java
15h
Dev Ops Engineer (12-month Co-op)
Rakuten Kobo —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Flexible schedule
14d

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Data Engineer

Tactable
Toronto, ON

Quick apply

Job details

Full-time
$140,000–$190,000 a year
13 days ago

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

platform engineer python jobs in toronto, on

Data Engineer

Infrastructure Automation Engineer (On‑Prem)

GenAI Platform Engineer - Python

Data Engineer, Platform

Staff/Lead Python Engineer (ML Platform/Ops)

Digital Customer Engineer

Senior Software Engineer

Specialist - Data Engineering

Sr. Firmware Engineer - Embedded Systems

AI Engineer

Python Developer (Insurance Data & Batch Processing) - 1 or 2 days per week onsite Hybrid

Database Engineer

Lead Scientist - Applied ML

AI Engineer Intelligent Systems & Analytics

Staff AI Software Engineer

Software Engineer (QA)

Software Engineer – Cloud & Python

Patient Experience iCare Exchange Integrations Engineer

Lead Java Platform Engineer (Payments Processing) - Senior Vice President

Dev Ops Engineer (12-month Co-op)

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