Senior Data Engineer GCP

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like where youll be supported and inspired bya collaborative community of colleagues around the world and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable more inclusive world.

About the role youre considering

We are seeking a seasoned Lead Data Engineer with over 10 years of experience in data engineering including deep expertise in Google Cloud Platform (GCP) and BigQuery and strong proficiency in DBT for data transformation and modeling. This role is ideal for a strategic thinker and hands-on technologist who can lead complex data initiatives mentor junior engineers and collaborate cross-functionally to drive data excellence across the organization.

Your role

• Architect design and lead the development of scalable data pipelines and solutions on GCP with a focus on BigQuery.
• Own and evolve DBT models to ensure robust tested and well-documented data transformations.
• Write and optimize advanced SQL queries for large-scale data processing and analytics.
• Lead the implementation of data warehousing solutions ensuring performance scalability and reliability.
• Partner with data analysts scientists and business stakeholders to translate business needs into technical solutions.
• Monitor troubleshoot and continuously improve data pipeline performance and data quality.
• Automate workflows and data tasks using Python and other scripting tools.
• Champion data governance security and compliance best practices.
• Mentor junior engineers and contribute to the development of engineering standards and best practices.

Skills & experience

• Bachelors or Masters degree in Computer Science Information Systems or a related field.
• 10 years of experience in data engineering or related roles.
• Expert-level SQL skills with a track record of writing efficient scalable queries.
• Advanced proficiency in DBT for data modeling and transformation.
• Extensive hands-on experience with BigQuery and other GCP data services.
• Deep understanding of data warehousing principles architecture and performance optimization.
• Proficiency in Python for scripting automation and data manipulation.
• Experience with version control systems like Git and CI/CD pipelines.
• Strong leadership communication and stakeholder management skills.
• Experience with orchestration tools like Airflow or Cloud Composer.
• Familiarity with Terraform or Infrastructure as Code (IaC) practices.
• GCP Professional Data Engineer certification.
• Experience in leading data modernization or cloud migration of data governance frameworks and tools (e.g. Data Catalog DLP).

#LI-NE1

The base compensation range for this role in the posted location is: $130000 - $155000.

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 Capgeminis 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. 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 340000 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.

Required Experience:

Senior IC