Data engineer jobs in Canada (821 jobs)

Find data engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 9, 2026

Hiring at a glance

View jobs

Open jobs: 821
Employers: 399

Advertised starting pay

Average starting payCAD / year: $104,807Across 92 listings
Average starting payCAD / hour: $63.81Across 37 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%34 listings
Hybrid: 40%331 listings
On-site: 55%452 listings

Not specified: <1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), Capgemini (28), J&M Group (15).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Canada

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Added 1 month ago
MP
Data Engineer
Michael Page
Winnipeg, MB
- $80,000 to $100,000 CAD / year
- Full-time
Responsible for building, maintaining, and optimizing data pipelines while ensuring the accuracy, security, and reliability of enterprise data. The position combines cloud-based data…
Added 1 month ago
LC
Data Engineer II
Loblaw Companies Limited
Brampton, ON
- Full-time
Added 1 month ago
L
Senior Data Engineer
Luxoft
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
Added 1 month ago
VC
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Valsoft is looking for a Data Analytics Engineer to join our Tax department in Montreal, Quebec, working closely with Tax, Finance, Data Platform teams, and external consultants to build…
Added 1 month ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
Added 1 month ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
Added 1 month ago
TC
Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 1 month ago
IS
Senior Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
Iris's Direct client, a highly diversified financial services provider based in Canada is looking to hire a Sr. Data Engineer for a Long Term Contract opportunity.
Added 1 month ago
IS
Lead Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
5-8 years of hands-on experience as a Data Engineer with strong expertise in SQL and Python for data processing, transformation, and analytics.
Added 1 month ago
IS
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
- Contract
Must have skills5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
Added 1 month ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Ottawa, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
Added 1 month ago
S
Senior Data Engineer
Scene+
Toronto, ON
- Full-time
As we scale and evolve, our focus on innovation and technology is redefining what it means to be an iconic brand that prioritizes a member-centric experience. Data is not just a tool for u
Added 1 month ago
IF
Data Engineer, Investments
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
As a Data Engineer, you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will actively contribute to…
Added 1 month ago
Lead Data Engineer
ZS
Toronto, ON
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 1 month ago
Z
Lead Data Engineer
ZS
Toronto, ON
- Full-time
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 1 month ago
T
Data Engineer
Tekshapers
Toronto, ON
- Full-time
Role Description: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement and also architect modern data warehouse, data lakes,…
Added 1 month ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Added 1 month ago
T
Senior Data Engineer
TekRek
Montreal, QC
- $140,000 to $160,000 CAD / year
- Full-time
This is a global consultancy that builds machine learning and data engineering solutions for large organizations. Engagements run across many industries, mostly in North America, and…
Added 1 month ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 1 month ago
XA
Snowflake Data Engineer
xCroTek AI
Open Hall, NL
- Full-time
We are seeking a talented Snowflake Data Engineer with 1–5 years of experience in building and managing modern data pipelines. The ideal candidate should have strong expertise in Snowpipe,…
Added 1 month ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 1 month ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 1 month ago
CA
Data Engineer
Compass, a Kicksaw Company
Montreal, QC
- Full-time
Compass Analytics is excited to recruit a talented and driven Data Engineer to join our growing Analytics Delivery team. The ideal candidate will have a passion for building data solutions,…
Added 1 month ago
NF
Data Engineer
Nature Fresh Farms
Leamington, ON
- $75,000 to $100,000 CAD / year
- Full-time
Added 1 month ago
J
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…

Royal Bank of Canada

Lead Data Engineer

Toronto, ON, M9W 0A4, Canada

Full-time

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

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Applications open in a new tab.

Job details

Job type: Full-time
Listed closing date: Sep 30, 2026
Posting language: English
Posted: Sep 16, 2026

Original job description

Job Description

What is the opportunity?

Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? 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 new Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture. As a Lead Data Platform Engineer, you will be a senior individual contributor and technical lead, owning the design and build of our AWS-based data platform and mentoring other engineers.

You will work 70–80% hands-on across AWS (EKS, S3, RDS, EMR, Glue, Airflow), Snowflake, Spark, and dbt to deliver cloud-native, governed, and reliable data systems.

What will you do?

Technical leadership and platform ownership
- Lead the technical direction for the AML Data Foundation Hub on AWS.
- Mentor and coach engineers (tech design reviews, pair programming, standards), influencing quality and delivery.
Cloud-native data platform on AWS (hands-on)
- Design and build secure, scalable data platforms using AWS S3, Glue, EMR, RDS, and EKS.
- Define patterns for data lake and warehouse integration (e.g., S3 + Snowflake) including partitioning, storage classes, encryption, and cost optimization.
- Implement Infrastructure-as-Code (e.g., CloudFormation/Terraform) for repeatable environments, networking, IAM roles/policies, and security baselines.
Data engineering and architecture (medallion)
- Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark), Spark on EMR, and dbt.
- Implement schema evolution, SCD/CDC, partitioning, and performance tuning across both compute and storage (S3, EMR, Snowflake, RDS).
Ingestion, orchestration, and observability
- Engineer resilient, observable ingestion patterns into S3/Snowflake/RDS.
- Orchestrate pipelines using Airflow (or equivalent) and/or AWS-native services (e.g., event triggers), enforcing SLAs, retries, idempotency, and alerting.
- Build operational dashboards and alerts for pipeline health, platform capacity, and cost.
Reliability, DR, and security
- Design for high availability, resiliency, and disaster recovery (multi-AZ,/region backup/restore, RPO/RTO-aware architectures).
- Implement secrets management, encryption, IAM least-privilege, and network security in partnership with Security and Platform/SRE.
- Participate in incident response and postmortems; drive root-cause fixes and hardening of the platform.
DevOps for data and platform enablement
- Own CI/CD for data and platform components: code review, environment promotion, automated tests (unit, integration, data contract), and versioned artifacts.
- Partner with Platform/SRE on SLIs/SLOs, capacity planning, and platform standardization across squads.
Cross-functional collaboration
- Translate AML business and control objectives into technical roadmaps, platform capabilities, and reusable patterns.

What do you need to succeed?

Must-have

Experience depth: 7+ years delivering production data pipelines and distributed systems at scale on cloud platforms; demonstrated ability to operate as a senior IC and technical lead influencing architecture and quality across a team.
AWS platform depth: Hands-on with S3, Glue, EMR, EKS, and RDS; proficiency with IaC (CloudFormation or Terraform), IAM least-privilege design, VPC/networking, and security baselines.
Snowflake expertise: Hands-on with Streams, Tasks, Snowpark, and Snowpipe; strong SQL and warehouse design; performance optimization across compute and storage.
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing, optimization, and tuning.
Data engineering and architecture: Medallion architecture patterns (Bronze/Silver/Gold), schema evolution, SCD/CDC, partitioning, and end-to-end pipeline performance tuning.
Orchestration and automation: Airflow (or equivalent) for DAGs, SLAs, retries, idempotency, and observability; Git-based workflows and CI/CD for data pipelines (e.g., GitHub Actions/Jenkins).
Reliability and security: Designing for HA/DR (multi-AZ, backup/restore, RPO/RTO); encryption, secrets management, and network security in partnership with Platform/SRE.
DevOps for data: Ownership of automated testing (unit, integration, data contract), environment promotion, and versioned artifacts.
Ways of working: Strong ownership, structured problem-solving, and clear technical communication; experience with incident response and postmortems.

Nice-to-have

dbt proficiency: Development, testing, documentation, and deployment of transformations with dbt.
Observability: Metrics, tracing, and logging practices across data pipelines and platform components.
Security and privacy: OAuth2/OIDC, data masking/tokenization, PII handling, and regulatory awareness in financial services or AML.
Regulated domains: Prior experience in financial services or other highly regulated industries.
Cloud depth: AWS certifications (e.g., Solutions Architect, Data Engineer) and hands-on familiarity with SageMaker or additional AWS-native data services.
Data governance: DQ frameworks, source-to-target reconciliation, lineage tooling, and purge/retention strategies.
Hadoop ecosystem: Exposure to legacy Hadoop stack where relevant to integration patterns.

What's in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work, make a difference and lasting impact
Continuous learning and flexibility to work on projects that you are passionate about
Leaders who support your development through coaching and managing opportunities

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

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:

2026-08-06

Application Deadline:

2026-09-30

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.

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More about this job

Responsibilities

The Lead Data Engineer will design and build a secure, scalable cloud-native data platform on AWS using medallion architecture. They will also provide technical leadership, mentor team members, and ensure the reliability and security of data pipelines.

Requirements

Candidates must have 7+ years of experience in data engineering and distributed systems on cloud platforms. Proficiency in AWS services, Snowflake, Spark, and infrastructure-as-code is required.

Skills

AWS
Data Engineering
Snowflake
Spark
dbt
Airflow
Infrastructure-as-Code
Terraform
CloudFormation
Python
Scala
SQL
Data Architecture
CI/CD
Distributed Systems
Technical Leadership

Benefits

Continuous learning
Coaching and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

AWS
Data Engineering
Snowflake
Spark
dbt
Airflow
EKS
S3
Glue
EMR
RDS
Infrastructure-as-Code
Terraform
CloudFormation
Medallion Architecture
CI/CD
DevOps
Data Pipeline
Distributed Systems
IAM
Security
Reliability
Python
Scala
SQL
Anti-Money Laundering
Financial Services
Data Platform
Observability
Technical Leadership

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