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Added 15 hours ago
M
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) and designing scalable data ecosystems.
Added 1 day ago
T
Senior Databricks Data Architect
TheCorporate
ON · Ontario, Canada
- Contract
Strong Expertise in Azure(ADF/ADLS), Databricks, Python, Pyspark, SQL, CI-CD (Jenkins, Github), Obs (Dynatrace)
Added 2 days ago
GT
Databricks Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $75 to $95 CAD / hour
- Contract
Integrate Databricks with Azure services including ADLS Gen2, Azure Key Vault and ADF.
Added 3 days ago
T
Data Engineer II (Production Support)
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 3 days ago
GM
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
- Full-time
Build and maintain cloud data-platform capabilities using services such as Azure Data Lake Storage Gen2, Azure Databricks, Azure Kubernetes Service, or comparable Google Cloud services such…
Added 3 days ago
RH
Senior Power BI Developer
Robert Half
Calgary, AB
- Full-time
Utilize cloud-based data services, including Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), and Snowflake, to centralize and optimize data availability.
Added 3 days ago
T
Solutions Design IT Specialist
TD
Toronto, ON
- Full-time
Drive platform strategy for Databricks, Azure Data Lake, Power BI, and cloud-native data services.
Added 4 days ago
Senior Manager, Data Product Manager
Scotiabank
Toronto, ON
Partner with Senior Data Engineers, Architecture and the Harbour Platform team (Data & AI Technology) to shape data products that follow approved Harbour patterns. These patterns include…
Added 4 days ago
H
Platform Engineer
Hays
Toronto, ON
- Contract
We are seeking a highly skilled Senior/Lead Platform Engineer with strong expertise in Azure, Databricks, Python, PySpark, and Spark SQL to design, develop, and support scalable cloud-based…
Added 4 days ago
H
Data Architect
Hays
Toronto, ON
- Contract
Strong Expertise in Azure(ADF/ADLS), Databricks, Python, Pyspark, SQL, CI-CD (Jenkins, Github), Obs (Dynatrace)
Added 5 days ago
T
Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks
TD
Toronto, ON
- Full-time
Hands-on experience with cloud data platforms like Azure ADLS, Azure Databricks and Dremio.
Added 7 days ago
C
Consultant, Application Development (Payments)
CIBC
Toronto, ON
- Full-time
…knowledge of GoLang would be an asset. Ideally you are familiar with Containerization (Docker), Azure Cloud Services (Azure SQL, Databricks, ADLS, Event Hub, ADF), PostgreSQL, Kubernetes…
Added 8 days ago
C
Senior Data Integration Specialist
Co-operators
Guelph, ON · Toronto, ON · Burlington, ON · Montreal, QC · Quebec, QC · Regina, SK
- Full-time
Hands-on experience with Azure Data Lake Storage (ADLS), PySpark, Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Event Hub, API Management (APIM), Azure Key Vault,…
Added 9 days ago
KD
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
- Other
Support real-time LakeHouse Architecture on Azure, AWS and GCP
Added 9 days ago
C
Consultant, Back End Developer- Scala
CIBC
Toronto, ON
- Full-time
You can demonstrate 5-7 years experience: In hands-on development on Cloud (Azure), ETL (DataBricks, ADF, ADLS, etc.), Python/Scala, Databases (Oracle, SQL Server, Azure SQL MI), and Tools…
Added 10 days ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Support real-time LakeHouse Architecture on Azure, AWS and GCP
Added 10 days ago
Data Platform Engineering Specialist
The Canada Life Assurance Company
London, ON · Toronto, ON
Administer, support, and optimize Azure-based data platforms including Azure Databricks, Azure Data Factory, ADLS Gen2, and associated platform services.
Added 10 days ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Hands-on experience with Azure Cloud Services, including Azure Data Lake Storage (ADLS), Azure Functions, Azure Kubernetes Service (AKS), and Azure Databricks.
Added 11 days ago
T
Manager - Stress Testing Data, Controls and Analytics
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 12 days ago
T
Quality Engineer III
TD
Toronto, ON
- Full-time
Treasury Technology within TD Data is building a modern enterprise data platform on Microsoft Azure, leveraging technologies such as Databricks, ADLS, ADF, and Airflow to enable scalable,…
Added 14 days ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
We are seeking a highly experienced Principal Azure Databricks Architect to lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform.…
Added 15 days ago
H
Java Architect
Hays
Toronto, ON
- Contract
Hands-on experience with Azure Data Lake Storage (ADLS).
Added 18 days ago
R
Data Analyst - Expert
Raise
Toronto, ON
- Full-time
Work with Azure services including ADLS, Azure SQL, Synapse, ADF, and Databricks.
Added 18 days ago
T
Senior Data Engineer
Tactable
Toronto, ON
- Full-time
Integrate diverse data sources from Azure Blob, ADLS, and both relational and non-relational systems
Added 18 days ago
GT
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $95 CAD / hour
- Contract
Work with and deploy to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases

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

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