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Added 23 days ago
H
Data Engineer
Hays
Toronto, ON · North York, ON
- Contract
· Develop robust data solutions leveraging Google BigQuery, Python, stored procedures, and cloud-native technologies.
Added 23 days ago
P
Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
Proficiency with modern data engineering and modeling tools and languages, such as Python, R, SQL, PySpark, and Spark
Added 24 days ago
R&
Senior Actuarial Analyst, Property & Casualty
Robertson & Company Ltd.
Toronto, ON
- Full-time
Strong programming and analytical capabilities, ideally including Python and SQL; experience with PySpark is beneficial.
Added 5 months ago
L
Senior Product Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 USD / year
- Full-time
Design develop and maintain data pipelines using PySpark for largescale data processing
Added 5 months ago
L
Senior Product Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 USD / year
- Full-time
Design develop and maintain data pipelines using PySpark for largescale data processing
Added 5 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Expert in Python with strong OOP and functional programming skills
Added 24 days ago
OS
Senior Associate, Analytics Solutions - Technology Services Group
Optimus SBR
Toronto, ON
- Full-time
Join a dynamic and engaging team that thrives on collaboration, innovation, and growth. The Senior Associate role within our Technology Services Group is an exciting, transformative…
Added 5 months ago
L
Senior Specialist - Data Sciences
LTM
Ontario · Ontario, Canada
- $81,325 to $125,000 USD / year
- Full-time
Added 24 days ago
T
Senior Full Stack Developer (CRM), TD Securities
TD
Toronto, ON
- Full-time
…Global Research & Markets businesses. We are looking for a Senior developer based in Toronto to join our team and help deliver scalable, modern solutions that support colleagues and…
Added 25 days ago
Senior Data Engineer (Hadoop Migration)
Capgemini
Toronto, ON
Senior Data Engineer role to be part of our scrum teams and perform functional & system development for Hadoop applications for our Enterprise Data Lake initiative.
Added 25 days ago
C
Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
You can demonstrate 4-6 years of hands-on development expertise with Scala, Python, PySpark and SQL with technical experience in Maven, GitHub, JFrog and Bash. You have 3 or more years of…
Added 2 months ago
TD
L4 Software Developer
TELUS Digital
Remote, Canada
- $110,000 to $115,000 CAD / year
- Full-time
- Remote
As a Senior Technical Lead (L4), we are looking for the following:
Added 1 month ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
This senior expert role is pivotal in advancing PowerCo’s data-driven and cloud transformation. You will architect and lead Azure-based data and compute platforms that support predictive…
Added 2 months ago
ST
Senior Data Engineer
Sensor Tower
Remote, Canada
- Full-time
- Remote
As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred…
Added 3 months ago
PF
Senior Data Engineer - Data Governance & DataOps
Pattison Food Group
Langley, British Columbia
- Full-time
Strong SQL and Python; hands on experience with Spark (PySpark) and Databricks Jobs/Workflows.
Added 3 months ago
EI
Senior Integrations Developer / AI Data Integration Engineer
Engineered Intelligence Inc.
Mississauga, Ontario
- Full-time
We are looking for an experienced and hands-on Senior Integrations Developer / AI Data Integration Engineer to help lead the evolution of our modern data integration platform. This role…
Added 2 months ago
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
…daily across some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system -…
Added 4 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
Proven expertise in developing large-scale ETL pipelines and data processing automation using PySpark and Python within Microsoft Fabric Notebooks, integrated across the Azure ecosystem.
Added 4 months ago
N
Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
Added 26 days ago
C1
Senior Data Engineer, 6 month contract-(Hybrid)
Central 1
Vancouver, BC · Toronto, ON
- Full-time
Proficiency in SQL and Python\PySpark for developing data transformation and processing workflows.
Added 4 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
Added 5 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
Added 5 months ago
TI
Senior AI developer
Tecsys Inc.
Remote, Canada
- Remote
We're looking for a Senior AI/ML Developer to design, build, and deploy production-ready AI solutions that improve warehouse, transportation, and supply chain operations.

No more jobs.

Hays

Data Engineer

Toronto, ON, Canada
North York, ON, Canada

Pay Rate: CAD 55 on Inc · Contract

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Applications open in a new tab.

Job details

Pay: Pay Rate: CAD 55 on Inc
Job type: Contract
Apply by: Oct 11, 2026
Experience: · 7+ years of experience in Data Engineering or a related technical field.
Posting language: English
Posted: Sep 11, 2026

Original job description

Senior Data Engineer

Job Type: Contract

Pay Rate: CAD 55 on Inc

Location: 3 days onsite (Monday, Tuesday & Thursday)

What You Need to Do

· Design, develop, and maintain scalable data pipelines and ETL processes for structured and unstructured data.

· Build and optimize tables and views to support dashboards, reporting, and self-service analytics.

· Gather, analyze, and translate business requirements into efficient data transformation solutions.

· Collaborate with business stakeholders, data analysts, and technology teams to deliver reliable and scalable data solutions.

· Ensure data quality, governance, scalability, and performance across large and complex datasets.

· Develop robust data solutions leveraging Google BigQuery, Python, stored procedures, and cloud-native technologies.

· Automate data processing workflows and implement strategies to improve data quality and overall customer experience insights.

· Aggregate, prepare, and transform data for reporting, dashboards, scorecards, and advanced analytics use cases.

· Provide data extraction, reporting support, and actionable insights while responding to ad hoc business requests.

· Drive continuous improvement initiatives through process optimization and adoption of modern data engineering frameworks and tools.

· Effectively communicate complex technical concepts to business stakeholders and ensure alignment with organizational objectives.

· Support analytics initiatives involving clickstream and customer behavioral data where applicable.

What You'll Need to Succeed

· 7+ years of experience in Data Engineering or a related technical field.

· Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative discipline.

· Strong experience designing and maintaining enterprise-scale ETL and data pipeline solutions.

· Advanced proficiency in SQL and Python.

· Hands-on experience with Google Cloud Platform (GCP) services and cloud-based data architectures.

· Strong experience with Google BigQuery, including query optimization and stored procedure development.

· Experience with modern data engineering technologies such as Dataflow, Pub/Sub, Airflow, PySpark, Iceberg, StarRocks, and Vertex AI.

· Experience working with large-scale data warehouses such as BigQuery, Snowflake, or Redshift.

· Familiarity with applied AI/ML concepts and their integration within data platforms.

· Strong understanding of data governance, data quality, and performance optimization best practices.

· Retail industry experience with the ability to translate business requirements into scalable data solutions.

· Excellent analytical, problem-solving, and troubleshooting abilities.

· Strong communication and stakeholder management skills, with the ability to collaborate across business and technical teams.

· Proven ability to work in fast-paced environments while managing multiple priorities and projects.

· Experience working with clickstream data and customer analytics is considered an asset.

· Relevant certifications such as Google Professional Data Engineer, AWS Certified Big Data Specialty, or Microsoft Azure Data Engineer Associate are preferred.

· ITIL Foundation certification is considered an asset.

What You'll Get in Return

You will have the opportunity to work with a talented team of professionals in a dynamic and collaborative environment. The client offers exposure to large-scale cloud data platforms, advanced analytics initiatives, and enterprise data transformation projects. This role provides the opportunity to make a meaningful impact while working with modern data engineering technologies and best-in-class practices.

What You Need to Do Now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

Additional Information

· Reports to Manager, Interconnected & Marketing Analytics.

· Limited travel required, including quarterly visits to retail store locations.

· Hybrid work model with onsite presence required three days per week (Monday, Tuesday, and Thursday).

· Office-based environment.

· Physical requirements include extended periods of sitting and repetitive computer-based tasks.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes using Google BigQuery and Python. Collaborate with stakeholders to translate business requirements into efficient data transformation solutions and reporting dashboards.

Requirements

Requires over 7 years of data engineering experience and a bachelor's degree in a quantitative field. Proficiency in GCP services, SQL, Python, and experience with large-scale data warehouses is essential.

Skills

SQL
Python
Google Cloud Platform
Google BigQuery
ETL
Data Pipeline Design
Dataflow
Pub/Sub
Airflow
PySpark
Iceberg
StarRocks
Vertex AI
Data Governance
Stakeholder Management
Customer Analytics

Visa sponsorship

Not detected in the job text

Keywords

Google BigQuery
Python
SQL
GCP
ETL
Dataflow
Pub/Sub
Airflow
PySpark
Iceberg
StarRocks
Vertex AI
Snowflake
Redshift
Clickstream Data
Customer Behavioral Data
Data Governance
Retail Industry
Google Professional Data Engineer
AWS Certified Big Data Specialty
Microsoft Azure Data Engineer Associate
ITIL Foundation
Data Warehousing
Cloud-native Technologies
Stored Procedures
Data Quality
Performance Optimization
Analytics
Data Pipelines
Scalability

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