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Added 7 days ago
C
Software Developer II (Full Time) - Canada
Cisco
Montreal, QC · Saint-Laurent, QC
- Full-time
Proficiency in at least one of the following programming or scripting languages: C/C++, Python, or Java, with evidence of recent (within the 12 months) coursework, projects, or work…
Added 7 days ago
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Software Developer II (Full Time) - Canada
Cisco
Ottawa, ON · Kanata, ON
- Full-time
Proficiency in at least one of the following programming or scripting languages: C/C++, Python, or Java, with evidence of recent (within the 12 months) coursework, projects, or work…
Added 7 days ago
C
Software Developer II (Full Time) - Canada
Cisco
Montreal, QC
- Full-time
Proficiency in at least one of the following programming or scripting languages: C/C++, Python, or Java, with evidence of recent (within the 12 months) coursework, projects, or work…
Added 7 days ago
C
Software Developer II (Full Time) - Canada
Cisco
Ottawa, ON
- Full-time
Proficiency in at least one of the following programming or scripting languages: C/C++, Python, or Java, with evidence of recent (within the 12 months) coursework, projects, or work…
Added 7 days ago
C
Software Developer II (Full Time) - Canada
Cisco
Calgary, AB
- Full-time
Proficiency in at least one of the following programming or scripting languages: C/C++, Python, or Java, with evidence of recent (within the 12 months) coursework, projects, or work…
Added 7 days ago
AI
Chatbot Content Developer - Python/Java, AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
5+ years of strong scripting and automation experience – Python (preferred) or Java development experience.
Added 7 days ago
R
Senior AI Analyst (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
Strong proficiency in Python, TypeScript or Java, together with an outstanding capacity for continuous learning.
Added 7 days ago
B
Intermediate Software Engineer
BluWave-ai
Ottawa, ON
- Full-time
2+ years of professional software development experience with strong foundations in Golang, Java, or Python.
Added 7 days ago
C
Senior AI Analyst (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Strong proficiency in Python, TypeScript or Java, together with an outstanding capacity for continuous learning.
Added 7 days ago
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Cybersecurity Specialist- Research and Scientist
Galent
Toronto, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 7 days ago
Simulation Specialist - Power Systems
Ametek, Inc.
Winnipeg, MB
Significant coding work using programming languages C, C++, Java, Python etc.
Added 7 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 7 days ago
TC
Chatbot Content Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Strong scripting and automation experience using Python (preferred) or Java.
Added 7 days ago
C
Senior AI Analyst (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
Strong proficiency in Python, TypeScript or Java, together with an outstanding capacity for continuous learning.
Added 7 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 7 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 7 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 7 days ago
D
Integration Developer / Développeur intégration
dormakaba
Montreal, QC
- Full-time
5+ years of proven backend development experience with modern server-side programming languages (Node.js, Python, Java, C#, or similar)
Added 7 days ago
C
Officer Production Support Intmd Analyst
Citi
Mississauga, ON
- Full-time
Programming/Scripting: Basic scripting skills (e.g., Python, Shell, Perl) for automation, monitoring, and problem resolution. Familiarity with common programming languages used in the…
Added 7 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 7 days ago
TC
Full Stack Java Developer
TMC Canada
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Join TMC Canada as a Fullstack Java Developer building high-performance, distributed applications for a premier global financial institution. You'll drive business-critical solutions using…
Added 7 days ago
AI
Senior Software Engineer
Aversan Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- $115,000 to $135,000 CAD / year
- Full-time
We are currently seeking a qualified Full Stack Senior Software Developer to join our team. The ideal candidate will have extensive experience in full stack development using Java and…
Added 7 days ago
SJ
Principal Associate, AI Engineer
So Jobs
Toronto, ON
- $148,200 to $169,100 CAD / year
- Full-time
Strong programming experience using Python, Java, Go, Scala, or similar languages.
Added 7 days ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
Utilize programming languages like JavaScript, Java, HTML/CSS, Angular/TypeScript, Python, React and/or Go, Open Source RDBMS and NoSQL databases, and a variety of AWS tools and services
Added 7 days ago
E
Sr. Backend Engineer - Test Automation
eBay
Toronto, ON
- Full-time
Proficiency in Java or comparable backend languages such as Python, C#, or Go, with a willingness to develop in Java.

Slalom

Data Engineer - Canada Region

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, 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 operationalize scalable cloud data platforms, data products, and reliable batch or streaming pipelines across client environments. Collaborate with clients and delivery teams to implement secure, governed, observable solutions that support analytics and AI workloads, while contributing to technical reviews and reusable engineering practices.

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 learning skills.

Skills

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

Benefits

Vacation
Wellness And Sick Days
Cell Phone Reimbursement
Registered Retirement Savings Plan With Employer Matching
Tax-Free Savings Account
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
Kafka
Airflow
dbt
Dagster
Azure Data Factory
BigQuery
Redshift
Synapse
Microsoft Fabric
Delta Lake
Unity Catalog
Dataplex
Dataflow
Pub/Sub
Kinesis
Kubernetes
Terraform
ETL/ELT
Lakehouse Architecture
Generative AI

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