Jobs in Canada

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Added 20 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 20 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 20 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 20 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 20 days ago
AW
Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 20 days ago
AW
Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 20 days ago
OH
Senior Quality Assurance Engineer
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…
Added 20 days ago
7
AI Workflow Engineer
7shifts
Canada
- Full-time
Technical foundation: You have experience building and deploying AI-powered solutions and connecting systems through APIs. You’re comfortable with Python or a similar programming language,…
Added 20 days ago
AI
Senior Software Engineer – Core Java, Apache Spark, Python, SQL, Data Processing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 20 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 20 days ago
PM
Intern, Data Engineer (8 Months)
Picton Mahoney Asset Management
Toronto, ON
- Internship
Write SQL or Python scripts to merge and transform datasets.
Added 20 days ago
OH
Senior Quality Assurance Engineer
Ontario Health
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…
Added 20 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 20 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and optimize scalable batch and near-real-time data pipelines using Python, SQL, SAS, AWS Glue, Athena, PySpark, APIs, databases, file-based integrations, and cloud object storage.
Added 20 days ago
B
Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Develop data solutions using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and cloud-based data services, applying established engineering patterns and standards.
Added 20 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and modernize data-driven workflows using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and approved automation technologies.
Added 20 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
As a Network Engineer, you will be instrumental in designing, managing, and securing our corporate network infrastructure, Fortinet ecosystem, and cloud connectivity. Your expertise will…
Added 20 days ago
TI
Software Engineer (Data)
Themis Intelligence
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Write clean, maintainable Python, TypeScript, and SQL to build data processing components, integrations, and services.
Added 20 days ago
C
Data Engineer
CDAI
Toronto, ON
- Full-time
Hybrid: 4 Days in Office
Added 20 days ago
S
Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Added 20 days ago
KI
Senior QA Engineer
KPG99 INC
Toronto, ON
- Full-time
SQL proficiency for data validation, test data setup, and backend verification
Added 20 days ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Added 20 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Added 20 days ago
LC
Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Experience with SQL and Python coding (or equivalent language)
Added 20 days ago
LC
Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Experience with SQL and Python coding (or equivalent language)

Slalom

Data Engineer - Canada Region

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

For this position, the expected base salary pay range is $100,000 - $110,000. · Full-time

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Job details

Pay: For this position, the expected base salary pay range is $100,000 - $110,000.
Job type: Full-time
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.

At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Job Title: Data Engineer (For Vacant Role)

Who You’ll Work With

At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its potential to create better products, experiences, and organizations.

Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem. Slalom works across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake, along with the technologies that support each platform.

Expertise across every platform is not required. Your current skills, delivery experience, and areas of interest will help determine which team and client opportunities are the best fit, while giving you room to expand your capabilities over time.

What You’ll Do

As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may include:

Designing and implementing cloud-native data platforms, data lakes, lakehouses, warehouses, and data products.
Building reliable batch and streaming data pipelines, integrations, and orchestration workflows.
Translating business and technical requirements into maintainable engineering solutions and actionable development tasks.
Developing solutions across AWS, Azure, GCP, Databricks, and Snowflake ecosystems based on client needs and your areas of expertise.
Applying software engineering practices such as version control, automated testing, CI/CD, infrastructure as code, observability, documentation, and secure development.
Using AI-enabled engineering approaches and tools to improve delivery speed, quality, testing, documentation, and maintainability, with appropriate human review and responsible use.
Designing, building, and operationalizing governed data platforms that support analytics, AI, machine learning, Generative AI, and agentic workloads.
Enabling data quality, metadata, lineage, security, privacy, governance, performance, reliability, and cost-effective operations.
Participating in technical discovery, design sessions, code reviews, demonstrations, and knowledge sharing with clients and colleagues.
Contributing to reusable patterns, accelerators, and engineering communities within Slalom.

What You’ll Bring

We welcome candidates with different combinations of experience. You do not need every skill listed below to be successful in this role. We are interested in the depth of your experience, your learning mindset, and the areas where you want to grow.

Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions.
Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required.
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
Familiarity with relevant technologies, which may include Spark, Kafka, Airflow, dbt, Dagster, Azure Data Factory, BigQuery, Redshift, Synapse, Microsoft Fabric, Delta Lake, Unity Catalog, Dataplex, Dataflow, Pub/Sub, Kinesis, Kubernetes, Terraform, or comparable tools.
Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.

Additional Experience That May Be Helpful

Cloud, Databricks, or Snowflake certifications.
Experience in consulting or in client-facing, cross-functional delivery teams.
Experience with MLOps, LLMOps, vector databases, model or prompt monitoring, feature stores, semantic layers, or AI platform operations.
Experience modernizing legacy data environments or migrating workloads to cloud platforms.
Experience mentoring others or contributing to technical communities and reusable assets.

About Us

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

Hybrid/In office: We are hybrid but require that you live within a commutable distance to a Slalom location. If your team leader or client requires you to be onsite, there are expectations that you can meet those requirements.

Slalom is committed to fair and equitable compensation practices. For this position, the expected base salary pay range is $100,000 - $110,000. In addition, there is potential for a 8% discretionary bonus based on individual and company performance. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.

Slalom Employee Perks:

Culture & fun!
Lunch & learns
Health & wellness activities
Holiday parties
Employee community groups
Social clubs & activities
Vacation (20 days prorated based on start date & wellness/sick days)

Tangible perks

Competitive compensation package
$100 cell phone monthly reimbursement
Registered Retirement Program (RRSP) & Employer Matching
Tax-Free Savings Account (TFSA)
Annual “Thrive Well-Being” Gift Card
Family planning/ Fertility Benefit
Maternity/Parental Leave Top-Up
Medical & Dental Benefits
Life and AD&D Insurance
Access to Supplementary Life and AD&D Insurance
Access to the Employee Assistance Program (EAP) and Inkblot Therapy
And more!

*All benefits are subject to eligibility requirements

Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process. At Slalom, we leverage artificial intelligence (AI) to enhance the efficiency and scalability of our recruitment process. To learn more about how we leverage AI please read our TA AI Usage policy here.

Please note if you are hired at Slalom you will be required to complete a background check.

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More about this job

Responsibilities

Design, build, test, and operate scalable cloud data platforms, data products, and reliable batch or streaming pipelines across client environments. Collaborate with clients and delivery teams to deliver governed, secure, observable data foundations for analytics and AI, while applying sound engineering practices and contributing reusable solutions.

Requirements

Candidates should have hands-on experience delivering production data engineering solutions on at least one major cloud or data platform, along with proficiency in SQL, Python, Java, or Scala and experience with modern data engineering capabilities. Strong problem-solving, communication, collaboration, and learning skills are expected; consulting experience, certifications, and AI or MLOps experience may be helpful but are not required.

Skills

Data Engineering
SQL
Python
Java
Scala
Data Modeling
ETL/ELT
Distributed Processing
Batch and Streaming Pipelines
Cloud Data Platforms
Databricks
Snowflake
Apache Spark
Apache Kafka
Apache Airflow
Data Orchestration

Benefits

Vacation
Wellness and Sick Days
Cell Phone Reimbursement
Registered Retirement Savings Plan (RRSP) with Employer Matching
Tax-Free Savings Account (TFSA)
Well-Being Gift Card
Family Planning and Fertility Benefit
Maternity and Parental Leave Top-Up
Medical and Dental Benefits
Life and Accidental Death and Dismemberment Insurance
Supplementary Life and Accidental Death and Dismemberment Insurance
Employee Assistance Program
Therapy Access

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Cloud-Native Data Platforms
Data Lakes
Lakehouses
Data Warehouses
Data Products
Batch Processing
Streaming
ETL/ELT
Data Modeling
AWS
Microsoft Azure
Google Cloud Platform
Databricks
Snowflake
SQL
Python
Java
Scala
Apache Spark
Apache Kafka
Apache Airflow
dbt
Dagster
Terraform
Kubernetes
CI/CD
Infrastructure as Code
Data Governance
Generative AI

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Work requirements

Jobs in Canada