IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 24, 2026

Hiring at a glance

View jobs

Open jobs: 2,743
Employers: 1,327

Advertised starting pay

Average starting payCAD / year: $99,318Across 262 listings
Average starting payCAD / hour: $48.13Across 88 listings
Average starting payUSD / year: $116,984Across 56 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%129 listings
Hybrid: 38%1,047 listings
On-site: 56%1,548 listings

Not specified: 1% (19 listings)

Employers hiring include RBC (56), Royal Bank of Canada (49), TD (47).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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BALLY’S INTRALOT SA

Data Engineer

20 Duncan Street, Toronto, ON, M5H 3G8, Canada

Pay: Salary Range - $100,000 - $110,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 14, 2026

Apply About employer

Applications open in a new tab.

Original job description

Bally’s Intralot is a newly formed company established through the combination of Intralot and Bally’s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.

Bally’s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment. We are optimally positioned to capitalize on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.

Well, what about the team?

We’re seeking a passionate Data Engineer who is experienced in data engineering and has a solid understanding of data warehousing, cloud-based solutions, and data pipeline development. You'll be working alongside talented Data Engineers, Data Architects, and Machine Learning Engineers in an agile environment, designing innovative solutions for our Data Platform while supporting and troubleshooting our existing data estate.

As a part of our dynamic Data Engineering team, you will help deliver core data components and develop a range of real-time data pipelines. You'll work with large datasets and have the opportunity to apply cutting-edge Big Data technologies and methodologies across our cloud data environments.

So, what will you be doing?

Collaborate with other Data Product Owners, Engineers, and stakeholders to design and implement scalable data solutions.
Develop and optimize data pipelines for data lakehouse and inbound/outbound integrations.
Utilize Python and SQL for data analysis, backend development, and data manipulation.
Apply modern data frameworks such as Spark, DBT and Airflow for building robust data pipelines.
Troubleshoot and resolve issues with our data platform, ensuring high availability and reliability.
Participate in an agile work environment, maintaining open communication and continuous improvement.

And what are we looking for?

Strong SQL & Data Warehousing: Ability to design, implement, and optimize data models, and write efficient SQL queries.
Programming Skills: Experience with backend development using Python, and optionally Java.
Data Pipeline Development: Hands-on experience in building data pipelines using open-source frameworks like Spark, DBT and Airflow.
Data Platform Integration: Hands-on experience in integrating Data platforms with different API Architectures (REST, SOAP, Webhook, Websocket).
Cloud Expertise: Experience working with at least one major cloud platform (AWS, GCP, Azure).
Data Lake & Optimization: Knowledge of Parquet, Delta, Spark performance tuning, and optimizing data lakes in Databricks ecosystem.
Data CI/CD deployement: Hands-on experience in building deployment using technologies like Jenkins, GoCD, ArgoCD or Gitlabs.

Desirable Skills:

Experience working within the Databricks ecosystem.
Experience in code development in DBT.
Familiarity with TDD (Test-Driven Development) and CI/CD practices.
Experience with streaming technologies such as PySpark, Kafka, Pulsar, or Flink.
Experience working within coding platforms like Cursor, Claude code using AI Agents, MCP and Skills.
Understanding of Kubernetes ecosystem for scaling and container management.
Agile Methodology experience, preferably in a fast-paced environment.
Monitoring & Alerting: Hands-on experience in setting up alerts and monitoring data infrastructure.

What We're Looking for in You:

Passion for Data: You love working with data and understand the impact it has on business decision-making.
High Energy & Drive: You bring enthusiasm and a proactive, self-starter attitude.
Effective Communication: Ability to translate complex technical concepts for non-technical stakeholders clearly.
Team Player: Value collaboration and have experience working effectively with remote teams.
Mentorship: A willingness to mentor others and support them in achieving their goals.

DNA / Values

At Bally’s Intralot we are driven by a set of core values that we like to call our DNA. We strive to embody our DNA and keep them at the heart of everything we do!

We Win as One, we succeed together - across every location and every function. We collaborate openly, raise each other up, and share the wins. We're Powered by Curiosity, we ask questions, challenge assumptions and make space to learn and innovate. We have Fun with Purpose, we bring creativity, energy and joy to how we work and what we deliver, because when people enjoy what they do, the work is better for everyone. Our teams Embrace the Possibility, when opportunity appears, we act. When the unexpected hits, we adapt. We don’t wait for change - we move towards it. At Bally's Intralot, we Guard the Game, we protect what matters most, fair play for our players, integrity for our partners, and accountability in everything we do.

Salary Range - $100,000 - $110,000 CAD

Apply About employer

More about this job

Responsibilities

You will design and implement scalable data solutions while developing and optimizing real-time data pipelines for a data lakehouse. Additionally, you will troubleshoot platform issues and collaborate with stakeholders to ensure high availability and reliability of data components.

Requirements

The role requires strong proficiency in SQL, Python, and data warehousing, along with hands-on experience in building pipelines using Spark, DBT, and Airflow. Candidates must also possess experience with cloud platforms and integrating data platforms with various API architectures.

Skills

SQL
Data Warehousing
Python
Spark
DBT
Airflow
AWS
GCP
Azure
Databricks
Data Pipelines
API Architectures
CI/CD
Data Modeling
Cloud Computing
Big Data

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
SQL
Data Warehousing
Python
Spark
DBT
Airflow
AWS
GCP
Azure
Databricks
Data Lakehouse
API
REST
SOAP
Webhook
Websocket
CI/CD
Jenkins
GoCD
ArgoCD
Gitlabs
Parquet
Delta
Kafka
Pulsar
Flink
Kubernetes
Agile
TDD

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