Looker & AI Analytics Engineer - Cloud Data Solutions

Capgemini; Austin (CO); On-site; USD 89,000 - 166,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Google Looker Forward Deployed Engineer to design, build, and deploy modern analytics solutions for clients, leveraging Looker, BigQuery, Google Cloud Platform, and Gemini-powered analytics. This highly customer-facing role blends analytics engineering, data engineering, semantic modeling, BI modernization, and solution delivery.

You will partner with client stakeholders and engineers to rapidly deliver business value, accelerate platform adoption, and enable scalable,

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
• 3+ years of experience in analytics engineering, BI development, data engineering, or analytics platform implementation.
• 2+ years of hands-on Looker development experience, including LookML, dashboards, and semantic modeling.
• Strong SQL skills and experience with BigQuery or modern cloud data warehouses.
• Experience building production analytics solutions and data pipelines.
• Familiarity with Git, CI/CD, testing, and software development best practices.
• Strong customer-facing communication and stakeholder management skills.
• Ability to operate in agile, fast-paced consulting and delivery environments.

Responsibilities

• Design, develop, and deploy LookML models, Explores, dashboards, embedded analytics, and data applications.
• Build and maintain governed semantic layers, business metrics, dimensions, and access controls aligned with enterprise standards.
• Develop and optimize BigQuery data pipelines, transformations, and analytics workflows.
• Implement CI/CD, Dataform/dbt pipelines, API integrations, and automation processes to improve delivery efficiency.
• Enable conversational analytics and AI-powered experiences using Gemini in Looker and BigQuery.
• Support migrations from Tableau, Power BI, Cognos, BusinessObjects, MicroStrategy, and other BI platforms to Looker.
• Conduct customer workshops, technical discovery sessions, and agile delivery sprints.
• Troubleshoot and optimize query performance, semantic models, caching strategies, and analytics environments.
• Create documentation, knowledge transfer materials, and train-the-trainer programs to support long-term customer success.
• Capture customer feedback and collaborate with product and engineering teams to improve platform capabilities and delivery methodologies.

Skills

Looker development

BigQuery

SQL

Analytics engineering

CI/CD

Git

Cloud data platforms

Customer-facing

Agile delivery

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Tools

LookML

dbt

Dataform

APIs

Job description

Capgemini is seeking a Google Looker Forward Deployed Engineer to design, build, and deploy modern analytics solutions for clients, leveraging Looker, BigQuery, Google Cloud Platform, and Gemini-powered analytics. This highly customer-facing role blends analytics engineering, data engineering, semantic modeling, BI modernization, and solution delivery.

You will partner with client stakeholders and engineers to rapidly deliver business value, accelerate platform adoption, and enable scalable,