Find work in Canada.

549,996 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
BA
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
3-5+ years in software engineering, data engineering or ML engineering roles
Added 1 month ago
D
Data Engineer I
Docebo
Toronto, ON
- $68,600 to $91,500 CAD / year
- Full-time
Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments.
Added 1 month ago
P
Embedded Systems Engineer
Peripheral
Toronto, ON
- Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 1 month ago
MS
Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that…
Added 1 month ago
C
R&D Optical Product Ramp Engineer
Ciena
Ottawa, ON
- Full-time
Experience using scripting or programming tools such as Python or MATLAB for data analysis, automation, or engineering debug.
Added 1 month ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
…individual contributor role sitting at the intersection of Data Science and Backend Engineering. You'll be the technical bridge that turns ML models into reliable, scalable production…
Added 1 month ago
ST
Software Developer Co-op
Searidge Technologies
Ottawa, ON
- Internship
Added 1 month ago
S
Jr QA Analyst
Statflo
Toronto, ON
- Full-time
We're building a cloud-native SaaS business that lives in AWS. We build modern applications using TypeScript and Python. We run Docker containers deployed to Kubernetes. We have an…
Added 1 month ago
RT
Integration Engineer
Russell Tobin
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Implement Intelligent Document Processing (IDP) for automated data extraction
Added 1 month ago
RT
Sr Integration Engineer (Intelligent Automation)
Russell Tobin
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Database & Scripting - SQL and PL/SQL; custom scripting in Ruby, Python, Java, Groovy, or JavaScript; Custom Connectors via Connector SDK and Developer API.
Added 1 month ago
HT
Industrial Software Validation|
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 1 month ago
R-
Senior Operations Engineer
RiverMeadow - Workload Mobility Platform
Canada
- Full-time
Administer Linux-based systems, services, and networking components across traditional data center components and public clouds.
Added 1 month ago
TC
Software Engineer - Python, AWS Lambda, AI
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Hands-on expertise with Python, Lambda functions, APIs, LLM Models, Java
Added 1 month ago
AS
Physicien.ne quantique - Caractérisation et calibration / Quantum Physicist - Characterization and Calibration
Anyon Systems Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Proficiency in Python for experiment control and data analysis; familiarity with scientific computing and version control (Git).
Added 1 month ago
D
Data Engineer I
Docebo
Remote, Canada
- $68,600 to $91,500 CAD / year
- Full-time
- Remote
Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments.
Added 1 month ago
ST
AI ENGINEER - PYTHON
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
Design, build & deploy Python-based AI/LLM applications using FastAPI/Flask
Added 1 month ago
1P
AI Architect
10 Percent Recruiting Ltd.
AB · Alberta, Canada
- Contract
…organization's AI Factory. Working closely with AI Engineers, Data Engineers, business leaders, and technology stakeholders, you will define how AI technologies including Microsoft Copilot,…
Added 1 month ago
T
Senior Software Engineer
Tactable
Toronto, ON
- Full-time
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…
Added 1 month ago
T
Senior Data Engineer
Tactable
Toronto, ON
- Full-time
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…
Added 1 month ago
P
Jira Service Management Intake & Automation Developer
PeoplePilot
Toronto, ON
- Full-time
We are looking for a Jira Service Management Intake & Automation Developer to design, develop, and automate Jira Service Management workflows, intake forms, approvals, SLAs, queues, and…
Added 1 month ago
M
Data Engineer
Mantu
Montreal, QC
- Full-time
Data Engineer | Python & Database Engineering | Montreal
Added 1 month ago
A
Undergraduate Co-op Student – R&D Biologics Discovery
Amgen
Burnaby, BC · Canada - Burnaby
- Full-time
Degree concentration(s) in Data Science, Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Pharmacology, Systems Biology, or a combined quantitative and…
Added 1 month ago
L
Embedded Software DevSecOps Engineer (Co-op Student)
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
…photonic solutions power everything from AI and cloud computing to data centers, telecom, and advanced…
Added 1 month ago
Technical Lead, KPS (Payments Systems)
KEV Group
Toronto, ON
…payments, accounting, and reporting - where complexity is high and engineering excellence matters. Headquartered in Toronto with teams across North America, we are scaling fast and…
Added 1 month ago
IR
Intermediate Software Developer, DevOps - Remote/Hybrid (Canada)
Info-Tech Research Group
London, ON · Toronto, ON
- Full-time
The Intermediate DevOps Developer is responsible for supporting and improving the tools, processes, and infrastructure that enable the development, deployment, and ongoing operation of…

Tactable

Senior Data Engineer

Toronto, ON, Canada

Salary Range: $140,000 – $190,000 CAD, based on experience and role fit · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary Range: $140,000 – $190,000 CAD, based on experience and role fit
Job type: Full-time
Apply by: Mar 14, 2027
Experience: 8+ years of extensive experience in data engineering or software engineering roles
Posting language: English
Posted: Sep 15, 2026

Original 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 tactable.io to learn more about our work and what sets us apart.

The Role: Senior 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 Senior 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

8+ years of 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: $140,000 – $190,000 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.

Apply About employer

More about this job

Responsibilities

Build and maintain scalable, production-grade ETL/ELT pipelines and cloud-native data platforms for enterprise clients. Provide technical leadership by owning architectural decisions, mentoring junior engineers, and automating data workflows.

Requirements

Requires 8+ years of experience in data or software engineering with strong proficiency in Python, SQL, and Azure cloud infrastructure. Must have experience with containerization, CI/CD, and data orchestration tools like Airflow or dbt.

Skills

Python
SQL
Azure
ETL/ELT
CI/CD
Infrastructure-as-Code
Airflow
Dbt
Docker
Kubernetes
Data Pipeline Design
Cloud Infrastructure
Data Orchestration
System Migration
Technical Leadership
Data Architecture

Benefits

Comprehensive Health Plan
Dental Plan
Generous PTO
Holidays
Laptop
Home Office Equipment
Career Coaching
Social Events
Team Outings
Wellness Activities

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Azure
Azure Blob
ADLS
ETL
ELT
Airflow
Dbt
Docker
Kubernetes
CI/CD
Infrastructure-as-Code
Databricks
Cloud-Native
Data Pipelines
Data Architecture
Batch Processing
Streaming Systems
Data Observability
Finance
Trading
Enterprise Tech
Software Engineering
Data Engineering
Cloud Infrastructure
System Migration
Data Warehousing
Scalability
Fault Tolerance

Report this job