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Added 1 month ago
QP
Senior Cloud Systems Engineer
QuadReal Property Group
Vancouver, BC · Toronto, ON
- Full-time
The Senior Cloud Systems Engineer role is to ensure the stability, integrity, and efficient operation of the cloud-based and in-house information systems that support core organizational…
Added 3 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
- Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and…
Added 3 months ago
Sr Guidewire Developer -PolicyCenter
Aviva
Markham, ON
As a Senior Guidewire PolicyCenter Developer, you will be responsible for the design, configuration, and development of PolicyCenter solutions that support Aviva’s core policy lifecycle.…
Added 1 month ago
AW
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon Web Services (AWS)
Toronto, ON
- Full-time
5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and…
Added 1 month ago
PA
AI Research Engineer, Computer Vision & VLMs
Palona AI
Toronto, ON
- Full-time
We are looking for an AI Research Engineer with a strong research background in computer vision and vision-language models (VLMs) to develop the visual intelligence behind Palona’s…
Added 1 month ago
Q
FY27 Intern - Compute DSP/AI Processor Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
…industries and enrich lives. Under the supervision of an experienced engineer, the intern will contribute to design, verification, and modelling of ASIC HW IP (blocks) and sub-systems that…
Added 1 month ago
Q
Machine Learning Engineer, AI Processors (New Grad to Engineer Level)
Qualcomm
Markham, ON
- Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon…
Added 1 month ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning / AI Engineer to help design, build, test and deploy machine learning and AI-based systems for our BullzAI product line.
Added 5 months ago
AA
Python Backend Engineer (AI & Scalable Systems)
Apex Align Agency
Remote, Canada
- $110,000 to $145,000 USD / year
- Full-time
- Remote
We are looking for a strong Python Backend Engineer who can design and build scalable, production-grade backend systems across AI, automation, and cloud-native environments.
Added 5 months ago
A
Full-Stack Engineer - Production Planning
Afresh
Ontario
- $114,000 to $174,000 CAD / year
- Full-time
Backend/Data: Python, PostgreSQL, GraphQL, DBT, or Databricks.
Added 2 months ago
R&D Project Manager
Cyclic Materials Inc.
Kingston, ON
This position is ideal for a metallurgist or chemical/process engineer who has moved beyond purely technical execution and can lead multidisciplinary R&D workstreams with clear scope,…
Added 3 months ago
CI
Lead Engineer, Total Fund Management Financing, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Lead Software Engineer, Total Fund Management, Financing, you will provide hands-on technical leadership for the design, development and delivery of modern, cloud-native applications…
Added 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer on AQCell, you will build and maintain the models and data infrastructure that power this pipeline. You will work across large, heterogeneous transcriptomic…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 1 month ago
W
Staff Systems Engineer - Safety Methodologies
Waabi
Toronto, ON
- $200,000 to $256,000 USD / year
- Full-time
…are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless…
Added 1 month ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
The Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building robust IBM ODM Rule solutions that provide transaction-level…
Added 1 month ago
W
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
- $165,000 to $265,000 USD / year
- Full-time
Strong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.
Added 5 months ago
T
Data Engineer
Tactable
Toronto, Ontario
- Full-time
…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…
Added 2 months ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.
Added 1 month ago
E
Production Engineer
Evertz
Burlington, ON
- Full-time
Python certification with experience is an asset
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 1 month ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
…preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack…
Added 1 month ago
E
BI Dev/Ops Engineer, Sys Admin/Architect
eBay
Toronto, ON
- Full-time
The BI Platforms - Dev/Ops Engineer, System Admin, Systems Architect will be part of the Data Services team under the Information Technology Services and Solutions group that will design…
Added 1 month ago
MI
Deployment Engineer
Magna International
Aurora, ON
- Full-time
Magna is seeking a highly motivated Deployment Engineer to join the New Mobility group. This individual will be responsible for deployment and onsite support/monitoring of Magna’s…
Added 1 month ago
N
Firmware Engineer
Nokia
Canada
- Full-time
As an Early Career Firmware Engineer, you’ll be part of an agile Scrum team developing software that controls and monitors next‑generation optical network equipment. You’ll be writing…

Tactable

Data Engineer

Toronto, ON, Canada

Salary Range: $100,000 – $140,000 CAD, based on experience and role fit · Full-time

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Job details

Pay: Salary Range: $100,000 – $140,000 CAD, based on experience and role fit
Job type: Full-time
Apply by: Nov 18, 2026
Posting language: English
Posted: May 22, 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: 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.

Apply About employer

More about this job

Responsibilities

As a Data Engineer, you will build scalable and reliable ETL/ELT pipelines and maintain data workflows. You will also own architectural decisions and mentor junior engineers.

Requirements

Candidates must have extensive experience in data engineering or software engineering, strong programming skills in Python, and experience with cloud infrastructure. Familiarity with data orchestration tools and containerized environments is also required.

Skills

Data Engineering
Software Engineering
Python
SQL
Cloud Infrastructure
CI/CD
Infrastructure-as-Code
Data Orchestration
Docker
Kubernetes
ETL
ELT
Data Workflows
Data Quality
Mentoring
Technical Leadership

Benefits

Health Insurance
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

Data Engineer
Cloud
Python
ETL
ELT
Data Pipelines
SQL
Azure
CI/CD
Infrastructure-as-Code
Airflow
dbt
Docker
Kubernetes
Data Quality
Observability
Data Workflows
Technical Leadership
Mentoring
Data Transformation
Cloud-Native
Batch Processing
Streaming Systems
Legacy Data Migration
Performance Optimization
Fault Tolerance
Client Engagement
Project Exposure
Greenfield Builds
Enterprise Tech

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