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Added 11 hours ago
Senior Data Engineer
Capgemini
Calgary, AB
…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…
Added 11 hours ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 12 hours ago
SG
Senior Analyst, Analytics & Insights (12-Month Contract)
Scotia Global Asset Management
Toronto, ON
- Contract
Advanced experience in SQL/Power BI/Visual Studio. Python knowledge is an asset.
Added 12 hours ago
HB
Trading Application Support Engineer: $180,000cad + Bonus (Quant Fund)
Hunter Bond
Montreal, QC
- Full-time
SQL for data analysis and problem investigation
Added 12 hours ago
QT
Développeur logiciel principal - rapports et analyses / Senior Software Developer - Reporting
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
- Rédiger et optimiser des requêtes SQL complexes, des procédures stockées, des fonctions, des vues et des déclencheurs
Added 12 hours ago
W
Senior Full Stack Engineer
Workstream
Vancouver, BC
- Full-time
Experience with SQL and NoSQL databases, such as PostgreSQL or MongoDB, have comprehensive understanding of the decision-making process between SQL and NoSQL databases.
Added 12 hours ago
C
SR ACE Certified GW Integration Policy Center developer- Onsite role
Cognizant
Toronto, ON
- Full-time
Lead ACE Certified Guidewire Policy Center Integration Developer
Added 12 hours ago
C
Software Engineer - API
CMiC
Toronto, ON
- Full-time
Understanding of RDBS concepts and experience with SQL/PLSQL
Added 12 hours ago
PC
Business Analyst IT (Co-op)
Powerex Corp.
Vancouver, BC
- Full-time
- Temporary
Tools: Tableau, Datadog, Azure DevOps, SQL Server Management Studio, Snowflake, Claude AI, Microsoft Excel
Added 12 hours ago
I
Sr.Consultant(e) en sémantique des données de santé/Senior Advisor Health Data Semantics
IQVIA
Montreal, QC
- Full-time
Utiliser Python, SQL ou des langages similaires de script ou de requête pour traiter et analyser les données.
Added 12 hours ago
EC
Dotnet Developer
Experis Canada
Montreal, QC
- Contract
Solid software development experience (.NET, SQL) and development tools (Visual Studio, Visual Studio Code).
Added 12 hours ago
Senior Manager, Data Product Management
Scotiabank
Toronto, ON
Experience with data management tools and query languages (e.g., SQL, Python)
Added 12 hours ago
Software Engineer - API
CMiC
Toronto, ON
Understanding of RDBS concepts and experience with SQL/PLSQL
Added 12 hours ago
T
Full Stack Developer – AdTech Data Platform
Twine
Canada
- Contract
Strong experience with SQL/OLAP databases and analytical query optimization
Added 12 hours ago
MD
IT Quality Analyst/Tester/SEBT Specialist - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Knowledge of relational databases, SQL coding and Extract, Transform and Loading processes.
Added 12 hours ago
GT
Oracle DBA
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $70 to $75 CAD / hour
- Contract
Added 12 hours ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
…and engineering teams to ensure high availability, optimal SQL/PL-SQL performance, and smooth database operations, while helping drive our database modernization and cloud migration…
Added 12 hours ago
KI
PL/SQL Developer in Montreal, QC- Canada - Interviews this weekend
KPG99 INC
Montreal, QC
- Contract
We are planning to conduct interviews this weekend for the PL/SQL Developer role.
Added 12 hours ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
Strong hands-on expertise in AWS Data Services, Snowflake, Snowflake Cortex, Snowflake Horizon Catalog, Apache Iceberg or Snowflake Open Catalog, Python, PySpark, and SQL.
Added 12 hours ago
B
Automation Lead – Playwright, TypeScript
BeachHead
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Conduct database testing and write SQL queries to validate application functionality.
Added 12 hours ago
RD
Vb.net Developer
Randstad Digital
Toronto, ON
- Contract
We are seeking an experienced VB.NET Developer for a 6-month contract role in Toronto, ON. In this role, you will be responsible for maintaining, enhancing, and optimizing mission-critical…
Added 12 hours ago
G
Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 12 hours ago
RS
Senior Analyst, Ecommerce & Digital
Rogers Sports & Media
Mississauga, ON
- Full-time
Proficient user experience with SQL and relational databases, experience building dashboards in tools such as PowerBI
Added 12 hours ago
EI
Artificial Intelligence Engineer
Extend Information Systems Inc.
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 12 hours ago
Quality Designer Co-op (Summer 2027)
Electronic Arts
Vancouver, BC
You are familiar with general data analysis/science/AI practices (using e.g. SQL, python) and solving problems with data

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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