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Added 10 days ago
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Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Strong proficiency in Python and SQL, with hands-on experience in data transformation, automation, validation, performance optimization, and troubleshooting.
Added 10 days ago
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Software Engineer
Correct-AI
AB · Greater Edmonton Metropolitan Area
- Full-time
C++ & Python: Strong development skills with a track record of shipping production software.
Added 10 days ago
FT
Forward Deployed Engineering Intern (AI Agent)
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- $30 to $50 CAD / hour
- Internship
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
Added 10 days ago
FT
Forward Deployed Strategist
FDE Times
Chalk River, ON
- Full-time
…capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit…
Added 10 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
Experience with automation tools such as Ansible, Squish and Python
Added 10 days ago
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Senior AI/ML Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Safety and science come first. We are the only AI mental health chatbot with UKCA Class IIa medical device certification, and the first AI-led mental healthcare company selected for the…
Added 10 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Toronto, ON
- Contract
8+ years of experience in software engineering, including strong proficiency in Python and exposure to AI/ML or Generative AI solutions.
Added 10 days ago
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Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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…
Added 10 days ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
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…
Added 10 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
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…
Added 10 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 10 days ago
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Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Contract: 6 months, with a chance of extension
Added 10 days ago
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Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 10 days ago
AI Solutions Developer
Geotab
Oakville, ON
As an AI Solutions Developer your key area of responsibility will be designing, developing, deploying, and maintaining AI-powered applications that strengthen sales enablement, learning…
Added 11 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Hands-on experience with Python for data processing and automation
Added 11 days ago
IS
MLOps / AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
…provides consumers, corporations, governments, and institutions with a broad range of financial services and…
Added 11 days ago
RB
Product Manager, Advanced Analytics, Tim Hortons, Canada
Restaurant Brands International
Toronto, ON · Corp - Toronto Corporate Office
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 11 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 11 days ago
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Prompt Engineer
Apptad
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 11 days ago
T
IT Manager Development (Python)
TD
Toronto, ON
- Full-time
…design and delivery of an AI-enabled capability that integrates with existing models and creates a scalable, business-facing layer for scenario forecasting, A/B testing, model output…
Added 11 days ago
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MLOps Developer
L'Oréal
Toronto, ON
- Full-time
The Role In this critical role, you will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued. We are…
Added 11 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
Stichting Mission on Wheels
Calgary, AB
- Full-time
Everything we do is focused on helping our customers succeed. We lead with empathy, build trust through action, and create value for both external and internal customers.
Added 11 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 11 days ago
V
QA ENGINEER
VeriiPro
Vancouver, BC
- Contract
Work collaboratively with cross-functional teams to understand project objectives, design automated tests, troubleshoot issues, and implement scalable test solutions.
Added 11 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
…where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain,…

Slalom

Data Engineer - Canada Region

Calgary, AB, 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, and operationalize scalable cloud data platforms, data products, and reliable batch or streaming pipelines across client environments. Apply secure, governed, and maintainable engineering practices while collaborating with clients and delivery teams and supporting analytics, AI, and machine learning workloads.

Requirements

Candidates should have hands-on experience delivering production data engineering solutions and experience with at least one major cloud or data platform. They should be proficient in SQL, Python, Java, or Scala, understand modern data engineering practices, and bring strong problem-solving, communication, collaboration, and responsible AI engineering skills.

Skills

Data Engineering
SQL
Python
Java
Scala
Cloud Data Platforms
ETL/ELT
Data Modeling
Distributed Processing
Batch And Streaming Pipelines
Data Orchestration
Data Governance
Data Quality
AI And Machine Learning
Generative AI
Infrastructure As Code

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 Benefits
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

AWS
Microsoft Azure
Google Cloud Platform
Databricks
Snowflake
SQL
Python
Java
Scala
Apache Spark
Apache Kafka
Apache Airflow
dbt
Dagster
Azure Data Factory
BigQuery
Amazon Redshift
Azure Synapse
Microsoft Fabric
Delta Lake
Unity Catalog
Dataplex
Dataflow
Pub/Sub
Amazon Kinesis
Kubernetes
Terraform
ETL/ELT
Data Lakes And Lakehouses
Generative AI

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