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Added 10 days ago
FF
Senior Penetration Tester
Forward Financing
Remote, Canada
- $145,000 to $183,000 USD / year
- Full-time
- Remote
…and help shape how we test software that AI helped write. Our engineering organization is moving fast with AI, and our security testing needs to move at the same…
Added 10 days ago
Security Software Engineer
Motive
Canada
…that protect Motive’s products, infrastructure, and customer data. You will report into Pankaj Moolrajani, Manager, Security Engineer, and work across engineering and product teams to embed…
Added 10 days ago
AG
Distribution System Planning Engineer
ATCO Group
Edmonton, AB
- Full-time
Work collaboratively with Regional Planning, Transmission Planning, Asset Management, Substation Engineering and AESO.
Added 10 days ago
C
Bilingual Data Analyst
Cyient
Longueuil, QC
- $75,000 to $80,000 CAD / year
- Full-time
Work with structured operational data using Python and Excel to clean, analyze, and compute insights
Added 10 days ago
S
Semantic Model and Cube Developer
Synechron
Mississauga, ON
- $110,000 to $125,000 CAD / year
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 10 days ago
C
Senior AI Analyst (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
University degree in software engineering, computer science, data science or a related field.
Added 10 days ago
S
Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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…
Added 10 days ago
B&
Database Administrator
Butterfield & Robinson
Toronto, ON
- Full-time
Write and maintain Python scripts (NumPy, Pandas, Matplotlib) for data transformation, analysis, and automation.
Added 10 days ago
KI
Senior QA Engineer
KPG99 INC
Toronto, ON
- Full-time
Proven experience in software quality engineering, including functional, regression, and integration testing
Added 10 days ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
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…
Added 10 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
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…
Added 10 days ago
Standard Products Support Co-op
Eclipse Automation
Cambridge, ON
Analyze engineering data, designs, drawings, models and systems (including for compliance) to identify areas and additional factors for internal design reuse
Added 10 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
As a Data Scientist, you will help design, develop, test, and operationalize generative AI, Copilot, and agentic solutions for Finance. The role combines AI solution development, prompt and…
Added 10 days ago
Staff Software Developer, Full Stack (Provider Experience)
Dialogue
Toronto, ON · Montreal, QC
Your role as a Staff Software Developer, Full Stack
Added 10 days ago
SC
Pipeline TD - DMP & LRC
Stellar Creative Lab
Vancouver, BC
- $95,000 to $100,000 CAD / year
- Full-time
…image generation. In this role, your heavy focus will be on data handoffs, optimization, and seamless integration between creative applications. If you love building incredible software…
Added 10 days ago
F/
Data Developer (Data, Compliance & Financial Solutions)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
Join FCC’s Data, Compliance and Financial Solutions team as a hands-on developer supporting cloud-based data and analytics solutions that help move, integrate and prepare data for reporting…
Added 10 days ago
IS
Observability engineer
ITMC Systems, Inc
Montreal, QC
- $60 to $65 CAD / hour
- Contract
Enable teams to leverage observability data for reliability, performance, and security use cases; provide actionable recommendations.
Added 10 days ago
QW
Python GenAI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Perform basic data engineering tasks to load structured and unstructured data from source systems to target data stores.
Added 10 days ago
Sr Networking and Infrastructure Specialist
Alstom
Toronto, ON
We are seeking a skilled and motivated Networking and Infrastructure Engineer to join the Data Center team. This role involves managing and optimizing a hybrid environment built on…
Added 10 days ago
Software Developer
Geotab
Oakville, ON
…our growth and deliver results! Geotab is seeking a Software Developer who will be part of a team that builds a state-of-the-art telematics platform that makes sense of the data collected…
Added 10 days ago
I
Technical Implementation Specialist II (HL7/DICOM/SQL)
Intelerad
Canada
- Full-time
Bachelor's degree in Computer Science, Engineering, Medical Imaging Sciences, or equivalent experience.
Added 10 days ago
IW
Winter Intern 2027 - AI Internship Program
IG Wealth Management
MB · Manitoba, Canada
- Internship
Currently enrolled in an undergraduate program and returning to school following the internship (e.g., Business, Commerce, Computer Science, Data, Analytics, Engineering, or a related field)
Added 10 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 10 days ago
IW
Winter Intern 2027 - AI Internship Program
IG Wealth Management
ON · Ontario, Canada
- Internship
Currently enrolled in an undergraduate program and returning to school following the internship (e.g., Business, Commerce, Computer Science, Data, Analytics, Engineering, or a related field)
Added 10 days ago
E
Radio Algorithm Co-op
Ericsson
Ottawa, ON
- Full-time
Analyse large data sets and extract actionable insights.

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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