Back to jobs

Senior Data/.NET Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Work with business and technical stakeholders to understand workflows and translate requirements into practical solutions.

  • Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation.

  • Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies.

From the employer’s posting
YOUR TASKS Work with business and technical stakeholders to understand workflows and translate requirements into practical solutions. Model enterprise data as a graph: entities, relationships, identifiers.
Model enterprise data as a graph: entities, relationships, identifiers. Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation. Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies.
Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation. Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies. Build production AI features with LLMs: intelligent search, information extraction, question answering, workflow automation.
Apply at Capgemini Service SAS

Posting record

Report an error

Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 53.

From 36,425 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

343 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C#
Where the posting names them
- Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation. - Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies. - Build production AI features with LLMs: intelligent search, information extraction, question answering, workflow automation.
- Strong engineering skills: design, implementation, testing and debugging of maintainable, production-quality code. - Experience with C#/.NET; ASP.NET Core and API development are a strong advantage. - Understanding of graph data modeling (entities, relationships, identifiers); hands-on graph DB / graph query experience is a strong plus but can be learned on the project.

Your next step

Complete your application on careers.capgemini.com. The employer’s form will show what is required.

Applying through SAP SuccessFactors

  • Images (.jpg) aren’t accepted as a resume.

Already applied? Track this application

About Capgemini Service SAS

People
About 11,267 in 2024.Benefit plan filings (Form 5500)
Company
Listed as CAP.PA.
H-1B visas
771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Job description

View original posting ↗

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.

YOUR CLIENT

Our client is a product company building an enterprise AI platform that unifies data from multiple business systems and turns it into AI-powered applications and workflows used in production by large international organizations.

YOUR ROLE

You will be embedded with end customers, getting to know their processes and data and turning real business problems into working software. It’s a hands-on engineering role that spans the full cycle: integrating data from enterprise systems, designing data models, building APIs and user interfaces, and developing LLM-powered features and agents. You will take projects from the first workshop all the way to production and work closely with the platform’s core engineering team.

YOUR TASKS

  • Work with business and technical stakeholders to understand workflows and translate requirements into practical solutions.
  • Model enterprise data as a graph: entities, relationships, identifiers.
  • Build data integrations: connectors, ingestion from APIs and databases, data quality investigation and transformation.
  • Develop backend services, APIs and user interfaces using C#/.NET and modern web technologies.
  • Build production AI features with LLMs: intelligent search, information extraction, question answering, workflow automation.
  • Scope work, make implementation decisions, demo progress and take solutions from prototype to production.
  • Contribute reusable components and improvements back to the platform.

YOUR PROFILE

  • 3+ years of commercial software development experience.
  • Strong engineering skills: design, implementation, testing and debugging of maintainable, production-quality code.
  • Experience with C#/.NET; ASP.NET Core and API development are a strong advantage.
  • Understanding of graph data modeling (entities, relationships, identifiers); hands-on graph DB / graph query experience is a strong plus but can be learned on the project.
  • Interest in AI agents, tool use and multi-step workflows.
  • Familiarity with text processing, entity extraction, embeddings, semantic search or information retrieval is a plus.
  • Version control (Git) and CI/CD as part of normal delivery.
  • Ability to investigate unfamiliar systems and raw data and solve problems independently.
  • Confidence working directly with customers and explaining technical decisions.

 

Nice to have:

  • Front-end experience.
  • Practical AI engineering experience or a strong foundation: LLM APIs, prompting, structured outputs, RAG.
  • Speaking French.

What you will love about working here?

  • We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
  • The gift from the company - Christmas holidays from 25 December to 31 December.
  • Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub.

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Kyiv, UA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.