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Added 1 month ago
H
Cloud Engineer
HCLTech
Canada
- Full-time
We are looking for an experienced Cloud Engineer to join our Cloud & Platform Engineering team. In this hands-on role, you will design, build, and operate the enterprise Azure platform and…
Added 1 month ago
ES
Senior Application Engineer
EPAM Systems
Canada
- Full-time
We are seeking a highly skilled Senior Application Engineer with deep T-SQL expertise to join the Liquid Credit Engineering Team, a key division within our broader Investment Systems…
Added 25 days ago
Administrateur·rice de bases de données/ Database Administrator (Cloud)
TouchTunes
Montreal, QC
…solide expertise en services de bases de données infonuagiques AWS et en ingénierie des plateformes de…
Added 26 days ago
Velocity - Data Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
Added 1 month ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
Build and maintain data pipelines using Python, SQL, dbt, and Databricks.
Added 1 month ago
FS
Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
Added 1 month ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Cloud object storage (AWS/Azure), lakehouse/warehouse platform (Databricks/Snowflake or equivalent), Spark, SQL, Python, orchestration (Airflow/Dagster), streaming (Kafka), BI tools (Power…
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 1 month ago
R
Senior Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
5+ years of experience in software development, with a focus on Python, REST APIs, and Containers
Added 1 month ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- $191,700 to $213,000 CAD / year
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
P
Senior Data Engineer - Snowflake - Contract
Propel
Canada
- Contract
We are looking for a Snowflake Data Engineer to help build and maintain their cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately…
Added 1 month ago
Principal Development Architect
SAP
Montreal, QC
Advanced experience in one or more of those technologies: Java or Node, Python, package managers, REST APIs, Unit Tests, Databases, at least one Cloud Platform (SAP BTP, AWS, GCP, Azure),…
Added 29 days ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
V
Staff Software Engineer
Verily
Toronto, ON · Waterloo, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 1 month ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 1 month ago
Senior Software Engineer
Fleet Space Technologies
Toronto, ON
Tech stack: AWS, Python and/or Go, SQL, Docker, infrastructure as code, GitLab and CI/CD, REST, OpenAPI, GraphQL and gRPC.
Added 1 month ago
N
IT Software Engineer - Microsoft Tools Team
Nelnet
Mississauga, ON · CAN - MISSISSAUGA
- Full-time
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator…
Added 1 month ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique…
Added 1 month ago
B
Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
BDO Digital is looking for a replacement Senior Platform Engineer to join our team. This is enterprise-scale platform solutioning, not single-application DevOps. You will build a platform…
Added 1 month ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Design, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest,…
Added 1 month ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
Proficiency in programming languages and tools such as Python, SQL, or similar.

Capgemini

Senior Data Engineer - Vancouver

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $125,000 to $150,000

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Job details

Pay: The base compensation range for this role in the posted location is $125,000 to $150,000
Apply by: Oct 31, 2026
Experience: Data Warehousing & Data Management Minimum 8 years of experience in modern data engineering, data warehousing, and data lake technologies.
Posting language: English
Posted: Sep 2, 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.

Lead Data Engineering Lead

We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies across cloud platforms, including Microsoft Azure, Google Cloud Platform (GCP), and AWS. The ideal candidate will have strong technical expertise, proven leadership abilities, and experience designing scalable data solutions while collaborating with business and technical stakeholders.

Key Responsibilities

Design, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses, data lakes, and analytical platforms. Optimize large-scale data processing workflows to improve performance, scalability, and reliability. Implement and maintain data security, governance, and compliance standards in accordance with enterprise and regulatory requirements. Collaborate with business stakeholders, architects, and engineering teams to gather requirements and deliver effective data solutions. Lead development efforts, provide technical guidance, and ensure delivery of high-quality solutions within project timelines. Required Technical Skills Programming & Data Engineering Advanced hands-on expertise in: Python PySpark SQL Strong experience in data modeling, query optimization, and schema design. Cloud & Data Platforms Strong proficiency with Microsoft Azure Cloud Services. Experience with Microsoft Fabric and related technologies: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Databricks Working knowledge of AWS and/or Google Cloud Platform (GCP) data services is highly desirable. Data Warehousing & Data Management Minimum 8 years of experience in modern data engineering, data warehousing, and data lake technologies.

Extensive experience with enterprise data warehouse platforms, including one or more of: Azure Synapse Analytics Azure SQL Database Snowflake Amazon Redshift Google BigQuery Strong understanding of data warehouse best practices, development standards, and methodologies. Experience with: Azure Data Lake Storage Azure Blob Storage Azure Cosmos DB Azure SQL Database ETL/ELT & Architecture Experience with ETL/ELT tools such as: Azure Data Factory (ADF) Informatica Talend Practical experience implementing Medallion Architecture and modern data lakehouse patterns.

Required Experience

8+ years of experience in data engineering, data warehousing, and cloud-based data platforms. 12+ years of experience in SQL development, schema design, and dimensional data modeling. Experience developing and optimizing big data solutions using Spark-based technologies. Strong analytical, troubleshooting, and problem-solving capabilities. Demonstrated experience leading technical teams and mentoring engineers. Preferred Qualifications Experience with Databricks (highly preferred). Experience with Azure DevOps and CI/CD implementation. Knowledge of cloud migration strategies and methodologies. 2+ years of experience with Power BI. 5+ years of experience with reporting and visualization tools such as Tableau, OBIEE, or similar platforms.

Leadership Expectations Lead and mentor data engineering teams. Drive technical design decisions and architectural standards. Manage stakeholder expectations and communicate effectively across technical and business teams. Ensure timely delivery of high-quality, scalable, and secure data solutions.

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 involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

The base compensation range for this role in the posted location is $125,000 to $150,000

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

Design, build, and implement scalable data pipelines and ETL/ELT processes using Microsoft Fabric and cloud technologies. Lead development efforts, mentor engineering teams, and collaborate with stakeholders to deliver high-quality data solutions.

Requirements

Requires 8+ years of experience in modern data engineering, data warehousing, and cloud platforms like Azure, AWS, or GCP. Candidates must possess advanced hands-on expertise in Python, PySpark, and SQL, along with proven leadership and mentoring capabilities.

Skills

Python
PySpark
SQL
Microsoft Azure
Data Engineering
Data Warehousing
Data Lake
ETL/ELT
Azure Data Factory
Azure Synapse Analytics
Databricks
Data Modeling
Cloud Platforms
Leadership
Big Data
CI/CD

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

Data Engineering
Microsoft Fabric
Azure Data Factory
PySpark
Spark SQL
Python
ETL
ELT
Data Warehousing
Data Lake
Azure Synapse Analytics
Databricks
Medallion Architecture
Data Lakehouse
Azure Data Lake Storage
Azure Cosmos DB
Azure SQL Database
Snowflake
Amazon Redshift
Google BigQuery
Data Modeling
Schema Design
Azure DevOps
CI/CD
Power BI
Tableau
Cloud Migration
Big Data
Consulting
Leadership

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