Jobs in Canada

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Added 1 month ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
Familiarity with Azure Data Services, Databricks, Spark, and distributed data processing frameworks is considered an asset.
Added 1 month ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
We’re looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 1 month ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
We’re looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 1 month ago
B
AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
- Full-time
You have experience with cloud platforms, preferably Microsoft Azure, including Azure Databricks, Azure Machine Learning, AI Foundry, App Services, AKS, and Blob Storage.
Added 1 month ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Onsite Flexibility: Hybrid - four days per week onsite, with one remote day based on team and business needs
Added 1 month ago
S
AI Full Stack Developer
Synechron
Halifax, NS
- $120,000 to $125,000 CAD / year
- Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern…
Added 1 month ago
M
Senior Full-Stack Software Engineer
Manulife
Toronto, ON
- Full-time
Based on the role details you provided, here's a polished and engaging job posting designed to attract senior-level software engineering talent while highlighting the impact, technology…
Added 1 month ago
A
Manager, Business Intelligence Finance
Apotex
Toronto, ON · North York, ON
- $109,933.56 to $153,906.58 CAD / year
Relevant Databricks certifications are preferred (for example, Databricks Certified Associate Developer for Apache Spark).
Added 1 month ago
A
Ingénieur(e) Senior, Plateforme de Données
Astek
Montreal, QC
- Full-time
Plateformes cloud et données Microsoft : Fabric, Azure, Databricks, Purview
Added 1 month ago
KA
AI Governance Lead – Data Governance & CDGC
KData AI
Brampton, ON
- Full-time
Experience with cloud data platforms such as Databricks, Snowflake, Azure Data Lake, or Azure Data Factory.
Added 1 month ago
T
Senior Data Engineer
Tactable
Toronto, ON
- Full-time
The Role: Senior Data Engineer (Cloud, Python)
Added 1 month ago
VC
Junior Data Developer
Vancouver Coastal Health
Vancouver, BC
- $35.37 to $50.85 CAD / hour
- Full-time
Experience with cloud platforms such as Azure, AWS, or GCP and related data services (e.g Azure Data Factory, Azure Databricks, Azure Data Lake) would be an asset.
Added 1 month ago
GT
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $95 CAD / hour
- Contract
…journey and is open to exploring the advanced functionality of Databricks. The successful contractor will work on a daily basis with the Data Engineer Lead and client stakeholders, within a…
Added 1 month ago
AS
Data Speaclist
AgileGrid Solutions
Canada
- Full-time
We are seeking a highly skilled Senior Data Specialist to join our dynamic team. In this role, you will provide technical leadership in designing, developing, and optimizing cloud-native…
Added 1 month ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
…ML, and Cloud Migration & Modernization - all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500…
Added 1 month ago
MR
IT Reporting Specialist
MHI RJ Aviation Group
Mississauga, ON
- Full-time
IT Reporting Specialist role is a highly visible role interfacing directly with senior business leaders, IT, and data platform teams and is instrumental in ensuring MHIRJ’s leaders have the…
Added 2 months ago
C
Senior Data Engineering Consultant
CGI
Vancouver, BC
- Full-time
…solution to a client in the Public sector. We are seeking a Senior Data Engineering Consultant to join our growing data practice and help clients deliver modern, secure, and scalable…
Added 2 months ago
KT
Senior Data Technologist
Kal Tire
Vernon, BC
- Full-time
Experience with the Azure data platform. Ideal candidate has experience with all the following: Data Factory, Databricks, Synapse Analytics, Azure Synapse Link, Azure Data Lake, Power BI,…
Added 2 months ago
Senior Consultant - Python Developer (Data Solutions & Analytics)
EY
Toronto, ON · Montreal, QC
As a Senior Consultant within our Banking Technology practice, we are seeking a highly motivated Python Developer to join our team. The ideal candidate will have strong experience in…
Added 2 months ago
Senior Visualization Professional
Capgemini
Toronto, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 2 months ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker or Databricks.
Added 2 months ago
RS
Sr Manager, Data Product Management
Rogers Sports & Media
Toronto, ON
- Full-time
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for data…
Added 2 months ago
TC
Senior Solution Architect (Data & AI Solution Specialist)
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
Added 2 months ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…

Tactable

Senior Data Engineer

Toronto, ON, Canada

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

Apply on LinkedIn 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 on LinkedIn 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

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Work requirements

Jobs in Canada