Capgemini
AI

Senior Generative AI Data Engineer - Financial Services

Capgemini · London, ENG, GB · $250k

Actively hiring Posted about 1 month ago

About the Job you are considering:

We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data platforms.

This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as:

  • Risk analytics & fraud detection
  • Regulatory compliance automation
  • Document intelligence (KYC, contracts, trade docs)
  • Customer insights & conversational AI

You will work on cutting-edge technologies including LLMs, vector databases, RAG architectures, and cloud-native data platforms, helping organizations unlock value from structured and unstructured data.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

  • Design and build end-to-end GenAI pipelines using LLMs (OpenAI, Azure OpenAI, Anthropic)
  • Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search)
  • Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques
  • Build AI solutions for document processing, compliance, and banking chatbots
  • Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms
  • Implement batch and real-time data processing with structured and unstructured data
  • Deploy solutions on cloud with CI/CD, MLOps tools, and ensure production reliability
  • Collaborate with business teams, ensure compliance, and mentor teams on best practices

Your Skills:

  • 7+ years in data engineering or AI engineering with strong Python and SQL expertise
  • Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases
  • Hands-on with distributed computing (Spark, Databricks) and microservices architecture
  • Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms
  • Familiarity with DevOps tools (Git, CI/CD, Terraform) and Docker/Kubernetes
  • Financial domain expertise in banking, capital markets, or fintech environments
  • Knowledge of risk, compliance, KYC/AML, fraud systems, and regulatory workflows
  • Strong problem-solving, communication, and stakeholder management skills in agile setups

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you):

  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.

To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.

  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com

Tags & focus areas

Used for matching and alerts on DevFound
Ai Data Engineer Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.