Senior AI Data Engineer

Job Title: Senior AI Data Engineer

Location: London

About the Job you are considering:

We are seeking a Senior AI Data Engineer to design, build, and scale next-generation data platforms that enable trusted, intelligent access to enterprise information. Aligned with our vision to Consult with Purpose. Continuously Evolve. Architect Tomorrow., this role combines deep data engineering expertise with a passion for AI-driven innovation. You will help shape semantic data architectures, modernise data ecosystems, and deliver AI-ready solutions that accelerate decision-making and business value. Working closely with business and technology stakeholders, you will develop secure, scalable, and future-focused data capabilities, leveraging Generative AI to enhance data accessibility, automation, and operational efficiency across the enterprise.

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.

Key Responsibilities:

• Design and deliver scalable, secure, and reliable data platforms that enable trusted access to enterprise information and support advanced analytics and AI-driven business outcomes.
• Build and optimise enterprise data pipelines that transform complex data into high-quality, consumable assets for analytics, reporting, and intelligent applications.
• Establish robust data quality, governance, monitoring, and validation practices to ensure the accuracy, consistency, and reliability of business-critical data.
• Develop reusable data products, frameworks, and services that improve engineering efficiency and accelerate the delivery of data and AI initiatives.
• Design and maintain enterprise semantic models that create a consistent understanding of business metrics, entities, and relationships across the organisation.
• Enable self-service analytics and natural language access to data by developing semantic frameworks that simplify data discovery and improve business accessibility.
• Leverage Generative AI to enhance data engineering processes, automate metadata generation, accelerate data modelling activities, and improve operational efficiency.
• Design and deliver AI-powered data solutions that enable intelligent information retrieval, contextual data discovery, and conversational access to enterprise knowledge.
• Collaborate with business stakeholders, architects, data professionals, and AI practitioners to translate business challenges into scalable, value-driven solutions.
• Promote engineering excellence, continuous improvement, knowledge sharing, and the adoption of AI-fluent ways of working to build future-ready data capabilities.

Required Skills

• Proven experience designing and delivering enterprise-scale data engineering solutions and modern data platforms.
• Strong expertise in building scalable data ingestion, transformation, and processing frameworks for structured, semi-structured, and unstructured data.
• Deep understanding of data warehousing, dimensional modelling, semantic modelling, metadata management, and data governance principles.
• Advanced SQL skills with experience optimising complex queries and designing high-performance analytical data solutions.
• Strong Python development experience for data engineering, automation, and data platform development.
• Experience developing cloud-native data architectures and implementing scalable, secure, and resilient data solutions.
• Strong understanding of data quality, data validation, observability, monitoring, and data reliability engineering practices.
• Experience designing and implementing enterprise semantic layers, business metrics, data cataloguing, and metadata-driven architectures.
• Hands-on experience delivering Generative AI-powered data solutions, including Retrieval-ugmented Generation (RAG), AI-assisted data discovery, and enterprise knowledge retrieval.
• Experience developing AI-enabled applications that leverage Large Language Models (LLMs) to interact with enterprise data.
• Knowledge of vector search concepts, embeddings, semantic retrieval, and contextual information access patterns.
• Experience designing intelligent agents capable of data discovery, query generation, information retrieval, and workflow automation.
• Strong understanding of enterprise data security, governance, compliance, and responsible AI principles.
• Ability to translate complex business requirements into scalable data and AI solutions that deliver measurable business value.
• Excellent stakeholder management, communication, collaboration, and consulting skills.
• Strong analytical and problem-solving abilities with a continuous improvement mindset.
• Passion for AI innovation and building future-ready data capabilities within enterprise organisations.

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 Manage Mentor, 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