Find work in Canada.

327,774 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 12 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 18 days ago
Staff Software Engineer (FinTech) - Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
8+ years of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience…
Added 17 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
Full-time
Deep expertise in modern distributed data processing and ML engineering tools and languages (e.g., Python, Java/Scala, PySpark/Spark, Kafka, SQL, orchestration frameworks).
Added 18 days ago
Senior Java Backend Engineer – AI/Workflow
Astek
Montreal, QC
Full-time
3 + years of hands-on software development experience in Java ecosystem
Added 23 days ago
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 25 days ago
Big Data Developer
Centraprise
Toronto, ON · Greater Toronto Area, Canada
Contract
Mandatory Skills: Well versed with Data, ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps
Added 27 days ago
Data Engineer
FDM Group
Montreal, QC
Full-time
Java/Scala + bases solides Spark (debug, analyse d’échecs) ; Snowflake + SQL avancé (optimisation)
Added 1 month ago
Hadoop Developer
Pyramid Consulting, Inc
ON · Ontario, Canada
Contract
Must have skills: - Hadoop Ecosystem (HDFS, YARN, Hive, HBase), Spark (SQL, Streaming), Kafka, Sqoop, Python/Scala/Java, Shell scripting, Airflow (workflow orchestration), distributed data…
Added 1 month ago
Data Engineer
Blackline Safety
Canada
Full-time
Strong proficiency in SQL, Python, Java, and/or Scala.
Added 1 month ago
Java Application Developer with AI
Open Systems Technologies
Montreal, QC
Contract
3 + years of hands-on software development experience in Java ecosystem
Added 27 days ago
Lead Data and AI Engineer
Sanofi
Toronto, ON
Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 1 month ago
Big Data Engineer
TMX Group
Toronto, ON
$130,000 to $140,000 CAD / year
Full-time
Programming: Proficiency in Python, Scala, Shell Scripting, or Java.
Added 1 month ago
Sr. Data Engineer
eBay
Toronto, ON
Full-time
Proficiency in Python, Java, and Scala, with a strong foundation in data structures and multithreading.
Added 1 month ago
Data Engineer
eBay
Toronto, ON
Full-time
Strong programming experience with Python, Java, and/or Scala, supported by solid computer science fundamentals.
Added 1 month ago
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
Full-time
Added 1 month ago
Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
$200,000 to $295,000 CAD / year
Full-time
Strong in Java or another JVM language (Scala, Kotlin), or confident to pick it up fast.
Added 1 month ago
Data Engineer
Blackline Safety
Remote, Canada
Full-time · Remote
Strong proficiency in SQL, Python, Java, and/or Scala.
Added 1 month ago
Principal Software Engineer
Acceldata
Kitchener, ON
Full-time
Expert-level proficiency in Java or Scala; strong skills in Python and systems languages.
Added 1 month ago
Staff Software Engineer
Acceldata
Kitchener, ON
Full-time
Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus.
Added 1 month ago
Lead Software Engineer - Back End (FinTech) (Bangkok based - Relocation provided)
Agoda
Toronto, ON
Full-time
10+ years of experience with strong proficiency in Java, Kotlin, Scala, or C# with a proven track record of developing high-performance applications in production settings. Insightful…
Added 10 days ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 12 days ago
Data Engineer
Scotiabank
Toronto, ON
Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.
Added 1 month ago
Principal Investigator, AI Hub
Durham College
Oshawa, ON
Added 2 months ago
Solutions Architect
Databricks
Toronto, ON
Full-time
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Added 16 days ago
Staff Software Engineer, Product Risk
Stripe
Toronto, ON
Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience

Slalom

Data Engineer - Canada Region

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Pay: For this position, the expected base salary pay range is $100,000 - $110,000.
Job type: Full-time
Apply by: Sep 27, 2026
Posting language: English
Posted: Aug 28, 2026

Apply About employer

Applications open in a new tab.

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.

Apply About employer

More about this job

Responsibilities

Design, build, and operationalize scalable cloud-native data platforms and pipelines to support analytics and AI. Collaborate with multidisciplinary teams to translate business requirements into maintainable engineering solutions.

Requirements

Requires hands-on experience in production data engineering and proficiency in SQL, Python, Java, or Scala. Candidates should be familiar with at least one major cloud platform like AWS, Azure, GCP, Databricks, or Snowflake.

Skills

Data Engineering
Cloud Platforms
SQL
Python
Java
Scala
ETL/ELT
Data Modeling
CI/CD
Infrastructure as Code
Spark
Kafka
Airflow
dbt
Snowflake
Databricks

Benefits

Lunch & learns
Health & wellness activities
Holiday parties
Employee community groups
Social clubs & activities
Vacation
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
Employee Assistance Program (EAP)
Inkblot Therapy

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
GCP
Databricks
Snowflake
Data Lake
Lakehouse
Data Warehouse
Streaming
Orchestration
Version Control
Automated Testing
Observability
Generative AI
Machine Learning
MLOps
LLMOps
Vector Databases
Terraform
Kubernetes
BigQuery
Redshift
Synapse
Microsoft Fabric
Delta Lake
Unity Catalog
Dataplex
Dataflow
Pub/Sub
Kinesis

Report this job