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Added 9 days ago
TH
SENIOR ANALYST PRICING CAN
The Home Depot Canada
Toronto, ON
- Full-time
Experience with GBQ, SQL, Python, or other query/analytics languages.
Added 9 days ago
TH
analyste principal, Établissement des prix
The Home Depot Canada
Toronto, ON
- Full-time
Experience with GBQ, SQL, Python, or other query/analytics languages.
Added 9 days ago
Vice President Index Management – Equity Rebalance, Canada
Solactive AG
Toronto, ON
Proficiency in Python is required while experience in VBA, MATLAB, or SQL is an asset.
Added 9 days ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
Added 9 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
Strong proficiency in Python for data manipulation and analysis.
Added 9 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $112,006 to $149,341 CAD / year
- Full-time
At EDC, we support Canadian businesses to succeed globally. We provide the financial tools and expertise they need to explore new markets, reduce risks, all towards the goal of making…
Added 9 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 9 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 9 days ago
NF
Senior Data Scientist
Northbridge Financial
Toronto, ON
- Full-time
- Other
4+ years of programming experience with SQL and Python/R
Added 9 days ago
A
Business Analyst
Affinity
Calgary, AB
- Contract
Familiarity with SQL, Python, Jupyter Notebooks or other advanced data-analysis methods.
Added 9 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 9 days ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
Languages – Java, SQL, Any Scripting language (JS, Python, etc.)
Added 9 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
Software Engineering: Develop production-grade applications and APIs using Python and/or Java. Build reusable services, microservices, and AI components.
Added 9 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 9 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 9 days ago
FI
Senior Software Engineer
Flexstaf I.T. Inc.
Canada
- Contract
Microsoft Visual Studio (.NET) MVC, SQL Server (database creation and management) in Azure
Added 9 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 9 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 9 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 9 days ago
OT
Investment Associate, Capital Markets - Quantitative Strategies & Research
Ontario Teachers' Pension Plan
Toronto, ON
- Full-time
Very strong programming skills. Preferred knowledge in Python, MATLAB, and SQL.
Added 9 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 9 days ago
Manager Financial Reporting - Finance
Scotiabank
Toronto, ON
We are seeking a skilled Power BI/MSSQL Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence solutions using…
Added 9 days ago
AC
DBT PySpark Developer
Avance Consulting
ON · Ontario, Canada
- Full-time
At least 7 years of experience in AWS Python technologies.
Added 9 days ago
RC
Guidewire Test Lead – P&C Insurance Domain
Realtek Consulting LLC
Markham, ON
- Contract
Experience with Postman, Swagger, SoapUI, REST/SOAP APIs, JSON, XML, and SQL.
Added 9 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
Proficiency in scripting (e.g., Python, PowerShell, SQL) and automation tools.

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 About employer

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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.

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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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