AI-Enabled Data Engineer for Context & Knowledge Graphs

Capgemini; Atlanta (GA); On-site; USD 110,000 - 138,000; 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

Other benefits as provided by local政策

Job summary

Capgemini Invent is seeking a data-centric consultant to design and deliver AI-ready data foundations, including semantic layers and knowledge graphs, aligned with clients' transformation needs. You will build robust data pipelines and contribute to graph schema design within a collaborative team.

You bring 3–5 years in data engineering or analytics, hands-on dbt/SQL, and a solid grasp of semantic models, with strong documentation and data-quality skills to ensure trusted analytics in enterprise

Qualifications

• 3–5 years in data engineering, analytics engineering, or data architecture.
• Hands-on dbt, SQL, and cloud data platform experience.
• Understanding of semantic models.
• Strong documentation and data-quality skills.

Responsibilities

• Design and deliver AI-ready data foundations including semantic layers and knowledge graphs.
• Build LookML models, dbt metrics, dimensions, and measures.
• Contribute to graph schema design and write data pipelines.
• Document context contracts and data dictionaries.
• Support discovery workshops and evaluate context platform tooling.

Skills

Data engineering

Analytics engineering

Data architecture

dbt

SQL

Cloud data platform

Semantic models

Documentation

Data quality

Tools

dbt

SQL

Cloud data platform

Job description

Capgemini Invent is seeking a data-centric consultant to design and deliver AI-ready data foundations, including semantic layers and knowledge graphs, aligned with clients' transformation needs. You will build robust data pipelines and contribute to graph schema design within a collaborative team.

You bring 3–5 years in data engineering or analytics, hands-on dbt/SQL, and a solid grasp of semantic models, with strong documentation and data-quality skills to ensure trusted analytics in enterprise