IT & data jobs in Canada

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Added 14 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Within Sun Life, the Data and Analytics COE comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life…
Added 14 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Candidates must have relevant experience in the following areas:
Added 15 days ago
Finance Data Analyst
The Canada Life Assurance Company
Kitchener, ON
The FP&A (Financial Planning & Analysis) team in the Finance Department is looking for a Finance Data Analyst to add to our growing team. The role will support the FP&A function through…
Added 15 days ago
E
Data Engineer
eBay
Toronto, ON
- Full-time
We are looking for a talented and passionate Data Engineer to join our team and help build scalable, reliable data solutions that power critical experiences across eBay.
Added 15 days ago
Q
Senior Business Systems Analyst
Quantiphi
Toronto, ON
- Contract
…by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable…
Added 15 days ago
JG
Business Systems Analyst (BSA) – TSBI
J&M Group
Toronto, ON
- Contract
Analyze legacy systems, perform data profiling, and develop source-to-target data mappings and technical designs for L2/L3 data models. Collaborate with business, data, and technology teams…
Added 15 days ago
C
Senior Quantitative Analyst (12 Month Contract)
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 15 days ago
B
Systems Administrator - (Windows and Unix-Linux environments/ Automation/ AWS)
BMO
Toronto, ON · SCC
- Full-time
Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
Added 15 days ago
M
Operations & Data Analyst Co-op (8 Months)
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Support the build-out of a structured P&P data catalog covering applications, vendors, document types, materials, and reporting inputs.
Added 15 days ago
WC
Senior Analyst, Walmart Services - WMC Systems Administrator
Walmart Canada
Mississauga, ON
- Full-time
…Administrator will manage day-to-day system configuration, user access, data quality, reporting, issue resolution, documentation, and support platform enhancements across Walmart Connect’s…
Added 15 days ago
TP
IT Support Specialist – Onsite
Tech-Nique Partners
Caledon, ON
- $60,000 to $65,000 CAD / year
- Full-time
Ability to work onsite five days per week in Caledon, Ontario
Added 15 days ago
X
Senior Data Scientist - Operations Research
Xanadu
Toronto, ON
- Full-time
The successful candidate will join the cross-functional Data Analysis team to develop optimisation and forecasting models that improve the movement of wafer lots through our fabrication…
Added 15 days ago
Systems Administrator 3 - Enterprise Observability
British Columbia Lottery Corporation
BC · Hybrid - Kamloops or Vancouver, BC
Added 15 days ago
Software Development Manager, Amazon Financials Foundation Services (AFFS)
Amazon
Vancouver, BC
Must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment
Added 15 days ago
A
Data Analyst
ARC'TERYX
North Vancouver, BC
- Full-time
As a Data Analyst, you play an essential role in making data accessible and useful across the planning and supply chain functions. You execute analyses, build reports and dashboards, and…
Added 15 days ago
CH
Data Engineer
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
The Data & Analytics Function manages the analytics lifecycle, from data platforms and access through reporting, business intelligence, and advanced quantitative modeling. The function…
Added 15 days ago
CH
Data Engineer
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
The Data & Analytics Function manages the analytics lifecycle, from data platforms and access through reporting, business intelligence, and advanced quantitative modeling. The function…
Added 15 days ago
AE
Data Analyst
Arc'teryx Equipment
North Vancouver, BC
- Full-time
As a Data Analyst, you play an essential role in making data accessible and useful across the planning and supply chain functions. You execute analyses, build reports and dashboards, and…
Added 15 days ago
T
Data Engineer
TimePlay
Toronto, ON
- Full-time
As a Software Engineer working on our data platform, you’ll design, build and operate the data systems that support our products, analytics, and internal teams.
Added 15 days ago
A
Network Administrator: Calgary, AB (Onsite) : FTE
AceStack
Calgary, AB
- Full-time
Ability to analyze operational data, identify risk trends, investigate recurring incidents, and recommend mitigation strategies.
Added 15 days ago
BM
Network Administrator
BULLIT MANAGEMENT SERVICES LIMITED
Calgary, AB
- Full-time
Added 15 days ago
W
Senior Analyst, Walmart Services - WMC Systems Administrator
Walmart
Mississauga, ON
- Full-time
…Administrator will manage day-to-day system configuration, user access, data quality, reporting, issue resolution, documentation, and support platform enhancements across Walmart Connect’s…
Added 15 days ago
GI
Technical Support Analyst
Green Infrastructure Partners
Markham, ON · Headquarters, Markham, ON
- Full-time
Added 15 days ago
Systems Administrator
Exchange Technology Services Inc.
Winnipeg, MB
Added 15 days ago
AL
Technical Support Analyst
Acturis Limited
Victoria, BC
- Full-time
Hybrid work schedule: work from home up to 3 days per week

eBay

Data Engineer

Toronto, ON, Canada

C$102,400 - C$136,700 · Full-time

Apply on ebay.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: C$102,400 - C$136,700
Job type: Full-time
Experience: 3+ years of professional experience in software engineering or data engineering, with a focus on building data pipelines, distributed systems, or backend services.
Posting language: English
Posted: Oct 28, 2026

Original job description

At eBay, we're more than a global ecommerce leader - we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

Job Description

About the team and role:

Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Depop's mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. From everyday essentials to vintage and designer finds, Depop brings together a wide range of affordable styles in one place. It’s a marketplace where anyone can clear out their wardrobe or build a business, explore their style, and take part in a more circular way to shop.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. For more information, visit our News Room here.

We are looking for a talented and passionate Data Engineer to join our team and help build scalable, reliable data solutions that power critical experiences across eBay.

In this role, you will architect, design, and develop high-performance real-time and batch data pipelines that process massive volumes of data. You will help build the infrastructure that enables real-time insights, analytics, and personalized experiences for millions of users across the eBay marketplace.

You will work with modern data technologies including Kafka, Flink, Spark, Databricks, Airflow, dbt, and AWS, solving challenging engineering problems where scalability, performance, reliability, and data accuracy are essential.

You will own projects throughout the engineering lifecycle and collaborate closely with Data Science, Product, and Engineering teams to translate complex requirements into robust data solutions.

What you will accomplish:

Build data pipelines at scale: Design, develop, and operate robust real-time and batch data pipelines using Kafka, Spark, and Flink to process large volumes of data efficiently and reliably.
Develop reliable data workflows: Build and manage complex workflow orchestration using Airflow, ensuring data is processed accurately and available when downstream systems and teams need it.
Improve data quality and trust: Implement and maintain automated data quality and validation frameworks using technologies such as Monte Carlo, Great Expectations, or similar tools.
Build cloud-native data solutions: Leverage Databricks and AWS to develop scalable data platforms and services that improve developer productivity, system performance, and operational efficiency.
Develop scalable transformations: Build maintainable data transformation workflows using dbt and establish reusable patterns for producing high-quality datasets.
Own projects end-to-end: Drive major data engineering initiatives from architecture and design through implementation, testing, deployment, monitoring, and long-term production support.
Solve complex scalability challenges: Identify technical risks, performance bottlenecks, and future scalability challenges and proactively recommend architectural improvements.
Collaborate across teams: Partner with Data Science, Product, Analytics, and Engineering teams to understand data requirements, influence technical roadmaps, and deliver solutions that create meaningful customer and business impact.
Raise the engineering bar: Advocate for continuous improvement of our data architecture, development practices, tooling, and technology stack.
Build for long-term maintainability: Develop reusable libraries and engineering patterns while maintaining clear documentation for critical systems, pipelines, and architectural decisions.

What you will bring:

3+ years of professional experience in software engineering or data engineering, with a focus on building data pipelines, distributed systems, or backend services.
B.S. or M.S. in Computer Science or a related technical discipline, or equivalent practical experience.
Strong programming experience with Python, Java, and/or Scala, supported by solid computer science fundamentals.
Strong understanding of data structures, algorithms, concurrency, and multithreaded programming.
Hands-on experience building distributed data processing systems using technologies such as Kafka, Spark, and Flink.
Experience developing and operating production data workloads using Databricks.
Hands-on experience designing and deploying solutions in AWS or a comparable cloud environment.
Experience building and managing data workflows using Apache Airflow.
Experience developing data transformations using dbt or similar frameworks.
Familiarity with data observability, quality, and reliability technologies such as Monte Carlo, Great Expectations, or equivalent tools.
Solid understanding of distributed systems architecture, relational databases, data modeling, and NoSQL technologies.
Strong software engineering fundamentals, including object-oriented design, design patterns, testing, and production support.
Strong problem-solving skills and the ability to identify, diagnose, and resolve complex data and distributed-system issues.
Ability to communicate effectively and collaborate across Product, Data Science, Analytics, and Engineering organizations.

Ideally, you will also have:

Experience designing and building high-volume, low-latency streaming data platforms.
A proven track record of architecting reusable libraries, frameworks, and common engineering patterns for large-scale applications.
Experience optimizing distributed data workloads for performance, scalability, reliability, and cost efficiency.
Experience working in the ecommerce, marketplace, fintech, or payments domain.
Experience working in Agile/Scrum development environments and with tools such as JIRA.
Advanced knowledge of object-oriented design principles, MVC architecture, and software design patterns.
Experience influencing technical architecture and driving engineering improvements across teams.
A strong ownership mindset and the ability to take complex technical initiatives from concept through successful production deployment.

Additional Details

The base pay range for this position is expected in the range below:

C$102,400 - C$136,700

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

Apply on ebay.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

You will architect, design, and develop high-performance real-time and batch data pipelines to process massive volumes of data. You will also collaborate with cross-functional teams to build scalable data infrastructure and ensure data quality across the eBay marketplace.

Requirements

Candidates must have 3+ years of professional experience in software or data engineering with a strong background in distributed systems. A bachelor's or master's degree in Computer Science or a related field is required, along with proficiency in Python, Java, or Scala.

Skills

Python
Java
Scala
Kafka
Spark
Flink
Databricks
Airflow
Dbt
AWS
Data engineering
Distributed systems
Data pipelines
Software engineering
Data modeling
NoSQL

Benefits

Medical benefits
Financial benefits
Restricted stock units
Target bonus
RRSP eligibility
Paid time off
Parental leave

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Ecommerce
Kafka
Flink
Spark
Databricks
Airflow
Dbt
AWS
Python
Java
Scala
Distributed systems
Data pipelines
Monte Carlo
Great Expectations
NoSQL
Relational databases
Data modeling
Agile
Scrum
JIRA
Software engineering
Backend services
Data observability
Cloud-native
Streaming data
Performance optimization
Data quality
Engineering lifecycle

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IT & data jobs in Canada

Senior Data Scientist

Senior Data Engineer

Finance Data Analyst

Data Engineer

Senior Business Systems Analyst

Business Systems Analyst (BSA) – TSBI

Senior Quantitative Analyst (12 Month Contract)

Systems Administrator - (Windows and Unix-Linux environments/ Automation/ AWS)

Operations & Data Analyst Co-op (8 Months)

Senior Analyst, Walmart Services - WMC Systems Administrator

IT Support Specialist – Onsite

Senior Data Scientist - Operations Research

Systems Administrator 3 - Enterprise Observability

Software Development Manager, Amazon Financials Foundation Services (AFFS)

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Data Engineer

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Data Engineer

Network Administrator: Calgary, AB (Onsite) : FTE

Network Administrator

Senior Analyst, Walmart Services - WMC Systems Administrator

Technical Support Analyst

Systems Administrator

Technical Support Analyst

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Advertised starting pay

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IT & data jobs in Canada