Capgemini

Lead Data Engineer - GCP

Capgemini$134K — $177K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in Google Cloud Platform (GCP); Professional Data Engineer certification preferred
  • Proficient in SQL and Python/Scala; experience with Spark/Beam
  • Hands-on with GCP services, Infrastructure as Code (Terraform), and Continuous Integration/Continuous Deployment (CI/CD)
  • Strong communication skills and stakeholder management abilities
  • Proactive and solution-oriented mindset
  • Experience with Looker, Vertex AI, or working in multi-cloud environments is a plus
  • Familiarity with real-time data tools such as Bigtable or Firestore is advantageous

Responsibilities

  • Design and optimize scalable, secure, and cost-effective data architectures on GCP
  • Create end-to-end batch and streaming data architectures using tools like BigQuery and Dataflow
  • Develop scalable data models for analytics and machine learning applications
  • Build and optimize ETL/ELT pipelines with tools such as Data Fusion and dbt
  • Ensure compliance with security and governance protocols like GDPR and HIPAA
  • Tweak performance and manage costs through BigQuery monitoring and tuning
  • Collaborate with cross-functional teams to drive analytics and AI/ML initiatives

Benefits

  • Paid time off ranging from 12-25 days based on employee grade
  • Comprehensive medical, dental, and vision coverage
  • Retirement savings plans including a 401(k) in the U.S. and RRSP in Canada
  • Life and disability insurance
  • Employee assistance programs
  • Additional benefits as per local policies and eligibility
Full Job Description
Capgemini is looking to hire a senior lead data engineer with GCP skills to join our team. Some of the responsibilities are listed below.

Your Role

  • Design and optimize scalable, secure, and cost-efficient data architectures on GCP, aligning solutions with business goals.
  • Design end-to-end batch and streaming architectures using BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage
  • Build scalable data models for analytics and ML
  • Develop and optimize ETL/ELT pipelines using Data Fusion, Composer (Airflow), and dbt
  • Implement security and governance (IAM, VPC-SC, DLP, encryption) ensuring compliance (e.g., GDPR, HIPAA)
  • Optimize performance and cost (BigQuery tuning, monitoring)
  • Collaborate with cross-functional teams to enable analytics and AI/ML use cases'


Skills and experience

  • GCP expertise (ideally Professional Data Engineer certified)
  • Strong SQL and Python/Scala; experience with Spark/Beam
  • Hands-on with GCP services, IaC (Terraform), and CI/CD
  • Excellent communication and stakeholder management
  • Proactive and solution-oriented
    **Nice to Have**
    - Experience with Looker, Vertex AI, or multi-cloud environments
    - Knowledge of real-time data tools (Bigtable, Firestore)


The base compensation range for this role in the posted location is: $134,316 - $177,350.

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.

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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