Capgemini Invent - Contextual Systems Engineer Consultant

About the JobAt 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.The DDT Team Is Recognized ForEnabling Generative AI to improve efficiency and unlock new sources of innovationApplying data and AI to sustainability and digital transformation initiativesDesigning scalable, reusable data and AI productsDelivering value quickly in complex, fast-moving environmentsYour RoleAs 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 workstreams 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.Key Responsibilities IncludeBuilding and configuring semantic layer components, including LookML models, dbt metrics, and dimension and measure definitionsContributing to knowledge graph schema design and populating graph databases with domain-relevant dataWriting and testing data pipelines that feed context platforms with structured and unstructured dataDocumenting semantic objects, context contracts, and data dictionaries for client useSupporting discovery workshops focused on mapping enterprise data assets and knowledge flowsAssisting in the evaluation and configuration of knowledge and context platform toolingYour Skills + ExperienceRequired3–5 years of experience in data engineering, analytics engineering, or data architectureHands-on experience with dbt, SQL, and at least one cloud data platform (e.g., BigQuery, Snowflake, Redshift)Understanding of semantic modeling concepts such as dimensions, measures, metrics, and hierarchiesStrong documentation skills and attention to data qualityBeneficial ExperienceFamiliarity with graph database concepts (Neo4j preferred)Exposure to knowledge and context platforms, vector databases, or streaming technologiesInterest in how AI systems consume enterprise data and knowledge at scaleCompensationThe base compensation range for this role in the posted location is $72,000 - $136,000.00. 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.BenefitsPaid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityEqual Opportunity & Other StatementsCapgemini 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.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.J-18808-Ljbffr