Capgemini

Data Modeling

Posted On

Feb. 18, 2026

Location

Bangalore, Karnataka

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

March 11, 2026

Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Key Responsibilities:

Define and evolve logical and physical data models for core entities (parts, tools, stations, processes, plans, versions).
Create semantic data layers that support AI agent reasoning, Copilot queries, and planner views.
Model versioning-aware relationships — enable tracking of change history, deltas, and rollback paths.
Design graph and document models for relationships and dependencies (e.g., part↔station↔variant mappings).
Collaborate with engineering teams to ensure data models match service contracts (GraphQL/REST APIs).
Partner with AI/ML team to support knowledge graph, embeddings, and metadata tagging.
Define standards for schema evolution, validations, canonical references, and entity resolution.
Contribute to a central data dictionary and model governance framework for all teams.

Required Skills:

Expertise in data modeling techniques: ER diagrams, star/snowflake schemas, graph models, document structures.
Hands-on with PostgreSQL, MongoDB, Neo4j, and Redis — know when to use what.
Familiarity with data modeling tools: ER/Studio, dbt, http://dbdiagram.io , Lucidchart.
Experience in version-controlled data models, soft deletes, entity lineage, and temporal modeling.
Strong understanding of microservice boundaries and data contract ownership.

Modeling systems for manufacturing, PLM, or ERP-style applications (BOMs, process structures, routing).
Exposure to semantic layer / ontology modeling for AI platforms.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Job Description - Grade Specific

Has more than five years of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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