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Added 5 days ago
IS
React Native Developer
Infolitz Software Private Limited
Cochin, SK
- Full-time
We are looking for a React Native Developer (3+ years)who can build and maintain high-quality mobile apps for iOS and Android,collaborate closely with design and backend teams, and take…
Added 5 days ago
C
Java Tech Lead - Vice President
Citi
Mississauga, ON
- Full-time
Banking Technology is looking for an experienced Apps Dev Tech Lead Analyst with strong Java development expertise and a passion for exploring AI technologies.
Added 5 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Demonstrable ability to support and administer production business applications (triage, troubleshooting, root-cause analysis, and resolution) within an ITSM/ticketing environment,…
Added 5 days ago
Senior Engineering Manager
Scotiabank
Toronto, ON
Remain hands-on in the full-stack codebase (ReactJS + Java) by designing and implementing production solutions, developing prototypes and reference implementations, reviewing pull requests,…
Added 5 days ago
IG
Full Stack Engineer
Insight Global
Vancouver, BC
- $46 to $55 CAD / hour
- Contract
Understanding of DevOps practices and experience with CI/CD pipelines, observability and production support.
Added 5 days ago
RS
Java Full Stack Software Developer (AI Accelerated)
Redwood Software
ON
- $83,000 to $105,000 CAD / year
We are seeking a highly skilled and motivated Full Stack Java Developer to join our engineering team. In an environment where our SDLC is powered by cutting-edge AI tools (including…
Added 5 days ago
F/
Senior Data Developer
FCC / FAC
Regina, SK · FCC Tower
- Full-time
We’re looking for an experienced data developer who can build, support and improve the data pipelines and infrastructure that teams across FCC rely on every day. Someone who’s a practical…
Added 6 days ago
R&
IT Analyst V - Technical Support
Robertson & Company Ltd.
Toronto, ON
- Contract
Provide 2nd and 3rd level support for production incidents as required and provide single point of contact for business communications related to production incidents, escalate as required
Added 6 days ago
TI
Senior .NET Integration Developer
Teckhorizon Inc
Toronto, ON
- $100 USD / hour
- Contract
Our Client is seeking an experienced Senior Software Developer to support the sustainment, enhancement, and integration of mission-critical police applications within the Government of…
Added 6 days ago
S
Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…Databricks, and Snowflake, along with the technologies that support each…
Added 6 days ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…Databricks, and Snowflake, along with the technologies that support each…
Added 6 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
…Databricks, and Snowflake, along with the technologies that support each…
Added 6 days ago
CC
Teamcenter PLM Technical Consultant
Cuatro Consulting Inc.
Mississauga, ON
- Full-time
Provide technical guidance and ongoing production support for Teamcenter applications.
Added 6 days ago
D
Integration Developer / Développeur intégration
dormakaba
Montreal, QC
- Full-time
dormakaba is seeking an Integration Developer based in Montreal. In this role, the Integration Developer will design, develop, and maintain integration connectors that translate third-party…
Added 6 days ago
C
Officer Production Support Intmd Analyst
Citi
Mississauga, ON
- Full-time
The Production Support Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty…
Added 6 days ago
L
Senior Java Developer
Luxoft
Mississauga, ON
- Contract
…analysis and design, development, testing and deployment. As a developer, the candidate will be responsible for developing & deploying technical solution following engineering excellence…
Added 6 days ago
Full Stack Developer, Application Support
Scotiabank
Toronto, ON
The Full Stack Developer is responsible for the reliability, availability, and continuous improvement of business-critical applications. The role provides hands-on production support across…
Added 6 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
…high‑performance data pipelines. The ideal candidate comes from a Java or Python backend background and has worked extensively with Apache Spark. Experience with Scala is a plus but not…
Added 6 days ago
SJ
Principal Associate, AI Engineer
So Jobs
Toronto, ON
- $148,200 to $169,100 CAD / year
- Full-time
Design, develop, test, deploy, and support AI applications and services across the full lifecycle.
Added 6 days ago
FI
ScrumMaster - Application Delivery
FP Inc.
Toronto, ON
- $60 to $74 CAD / hour
- Contract
Support release planning, production readiness, post-launch stabilization, and defect triage coordination as needed.
Added 6 days ago
E
Sr. Backend Engineer - Test Automation
eBay
Toronto, ON
- Full-time
Integrate automated testing into CI/CD pipelines to support reliable deployments, regression prevention, and production readiness.
Added 6 days ago
Senior Java Full Stack Developer
Capgemini
Toronto, ON
We are seeking a Senior Java Full Stack Developer to design and deliver scalable enterprise applications within a complex financial-services environment. The role will focus on Java and…
Added 6 days ago
SM
RQ11719 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer with extensive experience developing complex enterprise and public-facing applications using Java and Microsoft Azure. The ideal candidate will…
Added 6 days ago
K
Senior Full Stack Developer
KellyOCG
Montreal, QC
- $69 CAD / hour
- Contract
We’re seeking a senior, hands-on software developer to design, build, and maintain business applications. You’ll work across application development and production support, contribute to…
Added 6 days ago
H
Production Support Analyst
Hays
Montreal, QC
- Contract
We are looking for a Technical Production Support Analyst who is interested in distributed systems and working with high-scale services. The successful candidate enjoys working in a…

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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