Invent - Contextual Systems Engineer Consultant

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini’s Strategy & Transformation Consulting practice, DDT partners with clients to shape data‑centric strategies, modern operating models, and AI‑enabled solutions that deliver measurable business outcomes.

Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, enabling seamless collaboration from strategy through execution. We work with leading organizations across industries including manufacturing, energy, consumer products, and life sciences to design future‑ready capabilities and accelerate value realization.

• Enabling Generative AI to improve efficiency and unlock new sources of innovation
• Applying data and AI to sustainability and digital transformation initiatives
• Designing scalable, reusable data and AI products
• Delivering value quickly in complex, fast‑moving environments

As a Consultant, Contextual Systems, you will contribute to the design and delivery of AI‑ready data and knowledge foundations that help enterprises bring business context to life. You will work within structured engagements, executing defined work streams under senior guidance while quickly learning client environments and building domain and technical credibility.

In this role, you will help design and implement semantic layers, knowledge graphs, and context platforms that enable AI systems to understand enterprise data and processes more effectively. You will collaborate closely with senior consultants, architects, and client teams, contributing hands‑on analytical and delivery output while developing your consulting skillset.

• Building and configuring semantic layer components, including LookML models, dbt metrics, and dimension and measure definitions
• Contributing to knowledge graph schema design and populating graph databases with domain‑relevant data
• Writing and testing data pipelines that feed context platforms with structured and unstructured data
• Documenting semantic objects, context contracts, and data dictionaries for client use Supporting discovery workshops focused on mapping enterprise data assets and knowledge flows
• Assisting in the evaluation and configuration of knowledge and context platform tooling

• 3–5 years of experience in data engineering, analytics engineering, or data architecture
• Hands‑on experience with dbt, SQL, and at least one cloud data platform (e.g., Big Query, Snowflake, Redshift)
• Understanding of semantic modeling concepts such as dimensions, measures, metrics, and hierarchies
• Strong documentation skills and attention to data quality

• Familiarity with graph database concepts (Neo4j preferred)
• Exposure to knowledge and context platforms, vector databases, or streaming technologies
• Interest in how AI systems consume enterprise data and knowledge at scale

The base compensation range for this role in the posted location is: $72,000 - $. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The range may be subject to change as permitted by law.

• 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…