AI/Data Engineer

Cph Ai Hub; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Job summary

Capgemini is seeking an AI/Data Engineer to design, build, and operate modern data platforms enabling analytics and AI use cases. You will collaborate with clients and cross-functional teams to deliver scalable, compliant data solutions in complex environments.

You will work on data pipelines, feature engineering, model preparation, and production-ready data products with an emphasis on governance and traceability.

Qualifications

• Solid experience as an AI/Data Engineer in enterprise environments.
• Hands-on expertise in batch and near real-time data pipelines.
• Experience with Databricks, Snowflake and cloud platforms.
• Proficiency in Python and SQL with data engineering best practices.
• Knowledge of data modeling, data governance, and lineage.

Responsibilities

• Design, build and operate scalable data platforms and products.
• Collaborate with owners and AI/ML teams to support model training and deployment.
• Implement transformations with Python/SQL and ensure observability.
• Contribute to data governance, lineage and enterprise standards.

Skills

AI/Data Engineer

Python

SQL

Databricks

Snowflake

Cloud platforms (Azure AWS GCP)

Data governance

Data modeling (Kimball Data Vault)

Streaming architectures

Collaboration

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Capgemini’s Global Insights & Data business line is a market leader in data, analytics, and cloud platforms across multiple industries, including financial services, life sciences, consumer products, utilities, and the public sector.

Your Role

As an AI/Data Engineer, you will design, build, and operate modern data platforms and data products that enable analytics and AI-driven use cases. Working closely with clients and cross-functional teams, you will deliver scalable, reliable, and compliant data solutions in complex enterprise and regulated environments. You will contribute to developing robust data pipelines and ensuring that data products are production-ready, governed, and aligned with enterprise standards.

In this role you will play a key role in:

• Design, build, and maintain scalable data pipelines and data products that support analytics and AI use cases. You will develop and maintain batch and real‑time processing solutions, ensuring high data quality, reliability, and performance across ingestion and transformation layers
• Collaborate with data product owners, AI/ML specialists, and platform teams to support feature engineering, model training, and operationalization of AI solutions, including preparing and transforming data for AI models and ensuring traceability and reproducibility
• Implement data transformations using Python and SQL, apply best practices for incremental and idempotent processing, while ensuring pipelines are observable, testable, and resilient
• Contribute to enterprise standards for data governance, lineage, and compliance while continuously optimizing pipelines and platform performance in collaboration with cross-functional teams

Your profile

• Solid experience (+6 years) as an AI/Data Engineer in enterprise environments, delivering scalable data solutions that support analytics and AI use cases
• Hands‑on expertise in building and operating batch and near real‑time data pipelines, ensuring reliability, performance, and traceability across the data lifecycle
• Experience with modern data platforms and lakehouse architecture, including tools such as Databricks and Snowflake, and working with cloud platforms (Azure, AWS, or Google Cloud Platform)
• Proficiency in Python and SQL, combined with strong knowledge of modern data engineering best practices such as incremental processing, data quality validation, observability, metadata management, and lineage
• Experience with data modeling (e.g., Kimball, Data Vault), distributed data formats (e.g., Parquet, Iceberg), and streaming/event-driven architectures, along with strong collaboration and communication skills in governed enterprise settings

What we believe you will enjoy about working here

Choosing Capgemini means choosing a company where you can shape your career, work with a diverse collective of experts, and help leading organizations unlock the value of data and AI responsibly.

At Capgemini, you will:

• Work hands‑on with modern cloud, lakehouse, and AI‑enabled data platforms
• Build data products and pipelines that power analytics and AI use cases
• Gain exposure to large‑scale, regulated, and mission‑critical environments
• Be a part of a collaborative culture that values innovation, entrepreneurship, and continuous learning

As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as require

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations 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