Jobs in Canada

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Added 16 days ago
M
Senior Data Architect
Miratech
Toronto, ON · North York, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 17 days ago
M
Senior Data Architect
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 17 days ago
M
Senior Data Architect
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 19 days ago
TS
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD Securities
Montreal, QC
- Full-time
Lead R&D in the GenAI/Agentic/LLM evaluation and testing areas.
Added 19 days ago
T
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD
Toronto, ON · Montreal, QC
- Full-time
Lead R&D in the GenAI/Agentic/LLM evaluation and testing areas.
Added 19 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to…
Added 19 days ago
T
Developer, Business Innovation & Transformation
TD
Toronto, ON
- Full-time
Lead, motivate, and cultivate relationships with Wealth Operations pillars to foster collaborative success.
Added 19 days ago
SL
Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…problems. An inquisitive mind. Driven to ask questions to help lead projects to business value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 19 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 19 days ago
C
Sr. Consultant, Business Systems Analysis
CIBC
Toronto, ON
- Full-time
…and Databricks SQL. Strong technical skills in Databricks, PySpark, Python, and SQL. Experience supporting or delivering AI/ML or generative AI use cases, including understanding of how…
Added 19 days ago
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Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
▪ Strong experience in Python Scripting and PySpark for data processing
Added 19 days ago
T
Senior Analyst, Marketing Delivery
TD
Toronto, ON
- Full-time
…closely with key partners across Marketing and Business Units to lead the well-managed delivery of journey orchestration campaigns and initiatives within the Salesforce ecosystem, including…
Added 19 days ago
V
Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
Added 19 days ago
M
Data Scientist II (6-Month Term, Potential Extension)
Metrolinx
Canada
- Full-time
Create AI/ML models to improve processes within Innovation and Information Technology and lead KPI analysis that identifies service quality and efficiency of delivery
Added 19 days ago
H
Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
Are you passionate about shaping the future of data and AI solutions? Join us as a Data & Analytics Architect and lead transformative projects that elevate enterprise data platforms to new…
Added 20 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
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…
Added 20 days ago
T
Business Insights Specialist ( Data Quality & Validation Financial Crimes)
TD
Toronto, ON
- Full-time
Must have strong coding experience in at least one of the following: Python, PySpark or SQL
Added 20 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
…help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive…
Added 20 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
…help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive…
Added 20 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Mississauga, ON
- $92,740 to $123,375 CAD / year
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 20 days ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 20 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Calgary, AB
- Full-time
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 21 days ago
A
Data Migration/ Modernization Lead
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

Capgemini

Lead Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $150,405 to $175,908

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is $150,405 to $175,908
Apply by: Dec 1, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape 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. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in **Databricks, PySpark, Python, SQL, Delta Lake, and cloud technologies (Azure/AWS)**, with experience building enterprise-scale data solutions that support analytics, reporting, and machine learning workloads.

Key Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines using **Databricks and PySpark**.
Build and maintain data ingestion frameworks for batch and real-time data processing.
Develop data models and implement data transformation logic using **SQL and Python**.
Leverage **Delta Lake** for data management, data quality, and performance optimization.
Implement data orchestration workflows using tools such as **Azure Data Factory, Airflow, or Databricks Workflows**.
Collaborate with data architects, analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
Optimize Databricks jobs and Spark applications for performance, scalability, and cost efficiency.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot production data pipelines and provide support for critical issues.
Participate in code reviews, documentation, and knowledge-sharing activities.

Technical Skills

Strong/expert Spark (PySpark) Using Jupyter Notebooks, Colab or DataBricks (preferred) Hands-on data pipeline development, ingest patterns in Azure Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big data systems"

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.

The base compensation range for this role in the posted location is $150,405 to $175,908

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply on careers.capgemini.com About employer

More about this job

Responsibilities

The Lead Data Engineer will design, develop, and optimize scalable ETL/ELT pipelines while managing a team to execute data engineering strategy. They are responsible for building reliable data infrastructure and collaborating with stakeholders to deliver high-quality, scalable data solutions.

Requirements

Candidates must have strong expertise in Databricks, PySpark, Python, SQL, and Delta Lake, along with experience in cloud technologies like Azure or AWS. The role requires hands-on experience in data pipeline development, data modeling, and orchestration tools such as ADF or Airflow.

Skills

Databricks
PySpark
Python
SQL
Delta Lake
Azure
AWS
ETL/ELT pipelines
Data modeling
Azure Data Factory
Airflow
Data governance
Data security
Spark
Jupyter Notebooks
Big data systems

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
SQL
Delta Lake
Azure
AWS
ETL
ELT
Data Engineering
Data Pipelines
Cloud Platforms
Data Modeling
Azure Data Factory
Airflow
Data Governance
Data Security
Spark
Jupyter Notebooks
Big Data
Machine Learning
Analytics
Reporting
Data Ingestion
Performance Optimization
Leadership
Strategy
Compliance
Infrastructure
Consulting

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Work requirements

Jobs in Canada