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Added 11 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
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…
Added 11 days ago
RA
Software Engineering Intern - Embedded Platforms (Summer 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Software Engineering Intern - Embedded Systems
Added 11 days ago
RA
Software Engineering Intern - Connected Systems (Summer 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Embedded Software Engineering Intern - Vehicle Access
Added 11 days ago
RA
Software Engineering Intern - Applications (Summer 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Software Engineering Intern - Android Developer
Added 11 days ago
NF
Senior Data Scientist
Northbridge Financial
Toronto, ON
- Full-time
- Other
Apply advanced technical skills in data engineering and exploration, statistical modeling and machine learning, and deployment pipelines to effectively solve business problems
Added 11 days ago
CL
Forward Deployed Engineer
Clover Labs AI
Remote, Canada
- $85,000 to $110,000 CAD / year
- Full-time
- Remote
Are comfortable with Python, particularly for scripting, scraping, automation, or data and AI workloads
Added 11 days ago
CL
Full Stack Developer
Clover Labs AI
Remote, Canada
- $75,000 to $110,000 CAD / year
- Contract
- Remote
Have strong experience with Python, particularly for scraping, automation, or data and AI workloads
Added 11 days ago
L
Security Engineer, Infrastructure Security
LiveKit
Canada
- Full-time
Find the gaps that could lead to customer data loss or infrastructure compromise, agree a prioritized security debt backlog with engineering, and close the highest-risk items first.
Added 11 days ago
SS
DevOps III, FME Flow
Safe Software
Canada
- Full-time
You are familiar with scripting languages such as Python, Powershell and/or Bash
Added 11 days ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
· Exposure to AI-assisted engineering tools and coding agents.
Added 11 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 11 days ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 11 days ago
Senior Consultant - Capital Markets - Market Risk and Treasury
EY
Toronto, ON
Use Python and SQL to analyze data, develop practical solutions and prepare clear, client-ready findings.
Added 11 days ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 11 days ago
SE
Combustion IPTL
Siemens Energy
Montreal, QC
- Full-time
Software Tools: Experience with PLM/Teamcenter, SAP, and basic programming or data analysis (Python, Excel VBA, SQL) is a plus. Use of AI tools such as Co-Pilot to improve process,…
Added 11 days ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 11 days ago
OT
Investment Associate, Capital Markets - Quantitative Strategies & Research
Ontario Teachers' Pension Plan
Toronto, ON
- Full-time
…portfolio’s investment lifecycle. This includes but is not limited to data ingestion, portfolio construction and operations, trading and risk…
Added 11 days ago
T
AVP, AI & Innovation
TD
Toronto, ON
- Full-time
…business problems and works across business, quantitative, data, engineering, and control teams to deliver measurable…
Added 11 days ago
CE
Senior Advisor, Program Planning & Scheduling
Cenovus Energy
Calgary, AB
- Full-time
Experience with data modeling, Power Query, Power Automate, SQL, Python, or comparable data transformation and automation tools.
Added 11 days ago
SI
Senior Site Reliability Engineer
STACK IT Recruitment
Remote, Canada
- $140,000 to $180,000 CAD / year
- Remote
🔎 Senior Site Reliability Engineer wanted: take full ownership of the AWS infrastructure, CI/CD, and data systems behind an established consumer app
Added 11 days ago
E
Applied Researcher 3
eBay
Toronto, ON
- Full-time
…understanding of marketplace inventory. Each problem brings different data, modeling, and system challenges, creating opportunities to explore new approaches and develop capabilities where…
Added 11 days ago
GI
Artificial Intelligence Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
Work with data preprocessing, feature engineering, and model evaluation.
Added 11 days ago
AC
DBT PySpark Developer
Avance Consulting
ON · Ontario, Canada
- Full-time
Demonstrated ability to work effectively in cross-functional, multi-stakeholder environments, collaborating with Business, Data Engineering, and Architecture teams.
Added 11 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 11 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
Design and maintain data pipelines and integrations using Azure Data Factory.

Capgemini

Lead Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $102,523 to $183,760.

Apply About employer

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Job details

Pay: The base compensation range for this role in the posted location is $102,523 to $183,760.
Apply by: Dec 1, 2026
Posting language: English
Posted: Oct 22, 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 $102,523 to $183,760.

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.

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More about this job

Responsibilities

The Lead Data Engineer will design, develop, and optimize scalable ETL/ELT pipelines while leading a team to define and execute data engineering strategy. They are responsible for maintaining data ingestion frameworks, ensuring data quality, and collaborating with stakeholders to deliver reliable data infrastructure.

Requirements

The ideal candidate must have strong expertise in Databricks, PySpark, Python, SQL, and cloud technologies like Azure or AWS. Experience in building enterprise-scale data solutions and managing data governance and security best practices is required.

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

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 Modeling
Azure Data Factory
Airflow
Data Governance
Data Security
Spark
Jupyter Notebooks
Cloud Platforms
Machine Learning
Data Ingestion
Performance Optimization
Big Data
Data Infrastructure
Analytics
Reporting
Consulting
Leadership
Software Engineering
Data Transformation
Orchestration

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