Senior Data Engineer - Vancouver

Capgemini; Vancouver; On-site; CAD 125,000 - 150,000; Full time

Benefits offered by this job

Paid time off

RRSP

Life and disability insurance

Job summary

Capgemini Canada is seeking a senior Lead Data Engineering Lead to architect and deliver scalable data pipelines and transformative data solutions across cloud platforms. You will guide engineering teams, set technical direction, and partner with stakeholders to meet business goals in a dynamic environment.

The role emphasizes leadership, hands-on data engineering, and collaboration with global colleagues to unlock data value for clients while ensuring security and compliance in enterprise

Qualifications

• 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.

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 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.
• 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.

Skills

Python

PySpark

SQL

Data modeling

Analytics

Leadership

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage

Databricks

Informatica

Talend

Power BI

Azure DevOps

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

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.

Programming & Data Engineering

Advanced hands-on expertise in: Python PySpark SQL

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 role 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.

Compensation

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.

Benefits

• 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibility

Equal Opportunity & Inclusion

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.

Accommodations

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.

Image Capture

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.

Company Overview

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.