Jobs in Canada

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Added 1 month ago
P
Forward Deployed Engineer
Pepper
Remote, Canada
- $80,000 to $140,000 USD / year
- Full-time
- Remote
As a Forward Deployed Engineer, you will lead technical integration of Pepper's product with distributor's system of record to ensure successful project implementation, delivery, and…
Added 1 month ago
Production Support Engineer (Salesforce)
Capgemini
Toronto, ON
…your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.…
Added 1 month ago
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Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…financial future for the healthcare community. As a Senior Data Engineer, you will design and build the data foundations (spanning structured and unstructured data on AWS) that turn raw…
Added 1 month ago
H(
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Technical fluency across data platforms and operational systems, including Snowflake, Python, SAP HANA, PowerShell, AWS GLUE, and REST APIs, with knowledge of data pipelines, databases, job…
Added 1 month ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 1 month ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Automate database provisioning and management using Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK) and scripting (Python, PowerShell, or Bash)
Added 1 month ago
PX
Senior Data Platform Engineer
Project X Ltd.
Toronto, ON
- Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 1 month ago
Staff Software Engineer
BuildOps
Toronto, ON
As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to…
Added 1 month ago
S
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
- Full-time
Create highly responsive front ends, scalable public APIs and backend infrastructure using , Java /C# / .NET, React / Typescript / Angular, REST APIs, SQL, and AWS.
Added 1 month ago
PX
Senior Data Platform Engineer
Project X
Toronto, ON
- Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 1 month ago
D
Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
- Full-time
Proficiency in Python, Scala, or SQL for data engineering and analytics workloads
Added 1 month ago
A
Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
- Full-time
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 1 month ago
TS
AI Engineer
Triunity Software
Victoria, BC
- $100,000 to $110,000 CAD / year
- Full-time
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Victoria, BC. This is an exciting opportunity to work at the cutting edge of artificial…
Added 1 month ago
Data Engineer, Early Career - 2027 (CAN)
Amazon
Toronto, ON
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 1 month ago
CD
New Graduate / Internship Applications
Compass Data & AI
Montreal, QC
- Internship
Programming Languages: Proficiency in SQL and Python is essential; experience with PyTorch, Spark, Scala, or similar technologies is a plus.
Added 1 month ago
UR
AI Solutions Engineer
Urban Ridge Supplies
Thornhill, ON
- Full-time
Basic-to-intermediate coding ability (Python, JavaScript, SQL, or similar).
Added 1 month ago
UR
Software Engineer III (AI Integration)
Urban Ridge Supplies
Toronto, ON
- Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 1 month ago
UR
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
- Full-time
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 1 month ago
UR
AI Native Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
You'll embed directly with the cross functional AI team as a dedicated AI engineer. Your job isn't to write code faster with AI. It's to fundamentally redesign how work gets done. You'll…
Added 1 month ago
UR
Software Engineer II (AI Integration)
Urban Ridge Supplies
Toronto, ON
- Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 1 month ago
UR
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
- Full-time
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 1 month ago
UR
Specialist, AI Engineering
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
Added 1 month ago
UR
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 1 month ago
A
Staff Marketing Technology Engineer
Absorb
Remote, Canada
- Full-time
- Remote
Expertise in SQL and Python, and proven experience designing and implementing ETL/ELT processes and pipelines (batch and streaming) and integrating with APIs.
Added 1 month ago
BC
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…

RBC

Senior Manager, Engineer & Build

Toronto, ON, Canada

Full-time

This date has passed. Check with the employer before applying.

Apply on rbc.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Listed closing date: Oct 31, 2026
Posting language: English
Posted: Oct 15, 2026

Original job description

Job Description

What is the opportunity?

Are you a hands-on data engineering leader who thrives on building high-performing teams and high-scale data platforms? Come join us!

Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture.

As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable data systems.

What will you do?

Lead, mentor, and grow a high-performing team; drive delivery excellence, coaching, goal setting, and continuous improvement.
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Implement schema evolution, SCD/CDC, partitioning, and performance tuning.
Architect for reliability, scalability, and cost efficiency on cloud platforms.
Containerize jobs/services, run on Kubernetes/OpenShift, apply IaC, and secure secrets and credentials.
Own CI/CD for data (code review, environment promotion, data contract testing), versioned artifacts, and environment parity.
Partner with Platform/SRE on SLIs/SLOs, incident response, and postmortems.
Engineer resilient, observable ingestion patterns (batch first, with optional near-real-time).
Orchestrate with Airflow (or equivalent); enforce SLAs, retries, idempotency, and alerting.
Establish DQ controls (profiling, constraints, dbt tests), source-to-target reconciliation, and end-to-end lineage.
Implement purge/retention aligned to AML and regulatory requirements.

What do you need to succeed?

Must-have:

Experience depth: 10+ years in engineering delivering production pipelines and distributed systems at scale; 2–4+ years leading engineers with a proven balance of hands-on and people leadership.
Snowflake expertise: Hands-on with Streams, Tasks, Snowpark, and Snowpipe; strong SQL and warehouse design; performance optimization.
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing and optimization.
Modeling and architecture: Strong data modeling (3NF/dimensional/data vault) and medallion architecture patterns (Bronze/Silver/Gold).
Data governance controls: Data quality frameworks, source-to-target reconciliation, lineage concepts and tooling, purge/retention strategies.
Orchestration and automation: Airflow (or equivalent) for DAGs, SLAs, retries, and observability; Git-based workflows and CI/CD for data (e.g., GitHub Actions/Jenkins).
Dbt proficiency: Development, testing, documentation, and deployment of transformations with dbt.
Cloud-native and platform: Containers, Kubernetes/OpenShift, Infrastructure-as-Code, and secure secret management; understanding of cost/performance trade-offs.
Ways of working: Strong ownership, and excellent problem solving and communication; incident management and postmortems.
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).

Nice-to-have:

Streaming and events: Kafka/CDC for near-real-time enrichment into batch layers.
Observability: Metrics, tracing, and logging practices and tooling across data pipelines.
Security and privacy: OAuth2/OIDC, data masking/tokenization, PII handling, and regulatory awareness in financial services/AML.
Regulated domains: Experience in financial services or other highly regulated industries.
Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
Stakeholder management: Ability to influence and align diverse technical and non-technical partners.
Hadoop ecosystem exposure (as legacy integration), where applicable.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to take on progressively greater accountabilities
Access to a variety of job opportunities across business and geographies

#TECHPJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-25

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply on rbc.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Lead and mentor a high-performing engineering team while contributing hands-on to the design and delivery of cloud-native data systems. Oversee the development of batch and incremental pipelines using Snowflake, Spark, and dbt while ensuring reliability, scalability, and data governance.

Requirements

Requires 10+ years of experience in engineering production pipelines and distributed systems, with 2-4 years of leadership experience. Must possess deep expertise in Snowflake, Spark, data modeling, and cloud-native infrastructure.

Skills

Data engineering
Snowflake
Spark
Dbt
Airflow
Kubernetes
OpenShift
Python
Scala
Java
Data modeling
CI/CD
Cloud architecture
Data governance
Leadership
Distributed systems

Benefits

Comprehensive Total Rewards Program
Bonuses
Flexible benefits
Competitive compensation
Stock options
World-class training program
Flexible work/life balance options

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Spark
Dbt
Airflow
Kubernetes
OpenShift
Python
Scala
Java
AWS
Cloud-native
CI/CD
Data Governance
Medallion Architecture
Data Modeling
Infrastructure-as-Code
Anti-Money Laundering
Financial Services
Distributed Systems
SCD/CDC
Performance Tuning
Observability
Data Quality
Lineage
Git
Jenkins
GitHub Actions
Kafka
PII

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Work requirements

Jobs in Canada