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Added 7 mins ago
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Senior DevOps Developer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
This role demands a strong blend of infrastructure engineering expertise, deep knowledge of Azure cloud services, and hands-on proficiency with Databricks or other data platform from a…
Added 7 mins ago
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AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
You will lead the development of shared AI/ML capabilities powering commercial products and services. Working with product and platform teams, you will own, develop and sustain harnesses…
Added 7 mins ago
SH
Manager, Analytics, Revenue, and Software Development
Scarborough Health Network
EO Head Office
- Full-time
Ensure software development follows sound practices for the software development lifecycle, source control, code review, security, testing and documentation
Added 7 mins ago
S
Systems Analyst III
Seaspan
North Vancouver, BC
- Full-time
Assesses Oracle Fusion Cloud changes and releases for potential impacts to existing business processes, integrations, configurations, security, reports, data, and connected applications,…
Added 7 mins ago
Communications Specialist - YNSE
Aecon
Toronto, ON · North York, ON
Integrity. We lead by example, with humility and courage.
Added 7 mins ago
G
Directeur(trice) / Director - Digital Platforms & Delivery Excellence
Genetec
Montreal, QC
- Full-time
…matière de qualité logicielle, d'automatisation, de plateformes cloud et de pratiques de…
Added 7 mins ago
QT
Technology Governance & Risk Advisor
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
- Lead responses to audit and evidence requests, ensuring consistent, accurate and timely information across IT.
Added 7 mins ago
EI
Delivery Lead
Enercare Inc.
Markham, ON
- Full-time
Lead with Heart: Mentor and inspire our talented team of engineers, helping them grow while fostering a collaborative and fun environment.
Added 7 mins ago
2I
Cyber Security Consultant
2iSolutions Inc.
Regina, SK
- Contract
Help to bridge gaps between enterprise network engineering and information security, designing and securing hybrid, cloud, and on-premises network infrastructures
Added 7 mins ago
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Vice-Président TI (Développement Logiciel)
DELAN - IT Talent Solutions
Brossard, QC
- Full-time
Œuvrer dans un environnement sur React, TypeScript, Kotlin, Java et le cloud
Added 7 mins ago
S
Senior Data Architect
Synechron
Montreal, QC
- Full-time
Expérience pratique obligatoire avec AWS et Google Cloud.
Added 22 mins ago
RB
Director, Enterprise Integration Services – OneRBC: CNB Integration
Royal Bank of Canada
Toronto, ON
- Full-time
…technology strategies spanning identity & access management, cloud infrastructure, network architecture, security posture alignment, and modern workplace modernization. You'll own the…
Added 37 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
This is a highly collaborative role. You will partner with data engineering, data science, security, cloud infrastructure, and finance teams to set platform standards, guide adoption of new…
Added 37 mins ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
…workforce. We run Okta alongside Microsoft Entra ID, and you'll also lead how we bring AI agents, bots and service accounts under the same identity platform. This is a hands-on engineering…
Added 37 mins ago
GE
Database Administrator (Temporary)
Greater Essex County District School Board
Windsor, ON
- Full-time
The Database Administrator is a technical lead for the databases, data integrations, data warehouse, reporting and internally developed applications that support the Board’s student and…
Added 37 mins ago
HD
Cyber and System Security Specialist
Hamilton-Wentworth District School Board (HWDSB)
Hamilton, ON
- Full-time
Reporting to the Manager, Infrastructure Services, the successful candidate will lead within the operations and security function in the IIT department, providing guidance and recommend…
Added 37 mins ago
G
Gestionnaire de Formation / Training Manager
Genetec
Montreal, QC
- Full-time
Added 52 mins ago
Director of Digital Operations
Sonance Wealth Partners
Toronto, ON
…service partners and vendors to a high standard. You will also lead practical AI adoption and develop policies for safe, compliant technology…
Added 1 hour ago
SI
SAP HANA DBA
Spruce InfoTech Inc.
Calgary, AB · Greater Calgary Metropolitan Area
- Contract
Lead planning, sizing, setup, implementation, and lifecycle management of SAP products, HANA database installations, upgrades, and system refreshes.
Added 1 hour ago
CS
Data Architect
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Collaborate with data engineering, cloud, security, and business teams to deliver enterprise data solutions.
Added 1 hour ago
B
Senior Manager, SecOps
BDO
Vancouver, BC · Kitchener, ON · London, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Lead the Security Operations function, establishing strategic direction, operational processes, and service delivery standards for threat detection, incident response, and security…
Added 1 hour ago
B
Senior Manager, SecOps
BDO
Calgary, AB · AB · Halifax, NS
- Full-time
Lead the Security Operations function, establishing strategic direction, operational processes, and service delivery standards for threat detection, incident response, and security…
Added 1 hour ago
IF
Bilingual (FR-EN) Manager, Security Platforms and Resilience, Security Operations Centre
Intact FC
Ottawa, ON · Toronto, ON · Laval, QC · Montreal, QC · Saint-Hyacinthe, QC
- Full-time
We’re looking for a Manager of Security Platforms and Resilience for our Security Operations Centre, supported by artificial intelligence, to lead a strategic team at the heart of the…
Added 1 hour ago
Managing Principal – Cybersecurity Strategy & Transformation
Capco
Toronto, ON
Cybersecurity is evolving rapidly. AI, cloud transformation, automation, and changing regulatory expectations are reshaping how financial institutions manage security, risk, and resilience.…
Added 1 hour ago
OI
Senior Oracle Asset Management Advisor
OXARO Inc.
Ottawa, ON
- Contract
Lead the strategic design and implementation of a comprehensive Oracle asset management process, providing technical expertise, support, advice, and guidance on Oracle licensing.

Capgemini

Senior Data Engineer

Calgary, AB, Canada

The base compensation range for this role in the posted location is $83,951 to $135,000

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Job details

Pay: The base compensation range for this role in the posted location is $83,951 to $135,000
Apply by: Dec 15, 2026
Posting language: English
Posted: Oct 30, 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.

Description and Location 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 Responsibilities and essential job functions include but are not limited to the following: Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline, and technology capabilities Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines Provide consultation and lead the implementation of complex programs Develop and maintain documentation relating to all assigned systems and projects Tune queries running over billions of rows of data running in a distributed query engine Perform root cause analysis to identify permanent resolutions to software or business process issues.

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 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 $83,951 to $135,000

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

The role involves designing, developing, and optimizing scalable ETL/ELT pipelines while managing data infrastructure to support analytics and machine learning. You will lead a team of data engineers to ensure technical excellence and collaborate with stakeholders to deliver reliable data solutions.

Requirements

Candidates must have strong expertise in Spark, PySpark, Databricks, Python, and SQL for building enterprise-scale data solutions. Experience with cloud-based data platforms, data modeling, and orchestration tools like Azure Data Factory or Airflow is required.

Skills

Spark
PySpark
Databricks
Azure
Data pipeline development
SQL
Data modeling
Python
Delta Lake
Airflow
Azure Data Factory
ETL
ELT
Data governance
Cloud technologies
Distributed 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

Spark
PySpark
Databricks
Azure
Data Engineering
ETL
ELT
SQL
Python
Delta Lake
Airflow
Azure Data Factory
Data Modeling
Cloud Computing
Distributed Query Engine
Data Governance
Machine Learning
Data Ingestion
Batch Processing
Real-time Processing
Jupyter Notebooks
Colab
Scalability
Data Infrastructure
Analytics
Reporting
Fault-tolerant
Data Quality
Performance Optimization
Consulting

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