Data Engineer - Defense

YOUR ROLE

In this role you will play a key role in:

• Designing, developing, deploying, validating, and testing data pipelines and data architectures to support engineering and analytics needs, ensuring consistency, scalability, and performance across platforms
• Defining and implementing efficient data architecture and data structures, setting up, maintaining, and optimising databases, data lakes, and related storage solutions for both structured and unstructured data
• Developing data pipelines to support the execution of machine learning algorithms and other advanced data processing workflows, leveraging tools such as Python, SQL, Spark, and Docker
• Managing and improving CI/CD pipelines to automate testing and deployment processes, improve code quality, and enhance development efficiency, using frameworks such as Jenkins, Jupyter, Superset, and Dagster
• Collaborating closely with software developers, data scientists, and engineers to ensure data systems meet project and business requirements, actively supporting multiple projects and working with Operations and inline production services to enhance the performance of defence systems
• Contributing to the continuous improvement of development practices, testing strategies, and data engineering standards, staying informed about the latest trends and innovations in data engineering and open-source solutions

YOUR PROFILE

• You hold a Master's degree in Computer Science, Engineering, Informatics, or an equivalent field, ideally with a specialisation in Data Engineering, Data Science, or a related discipline, and bring 3 to 5 years of solid experience in data engineering
• You are proficient in Python, SQL, Spark, and Docker, particularly for data processing, AI applications, and automation, and are familiar with data engineering tools and frameworks such as Jenkins, Jupyter, Superset, and Dagster; experience with data warehousing and Kubeflow is considered a plus
• You have a good understanding of databases, data lakes, data warehouses, CI/CD pipelines, and unit testing practices, with a strong interest in open-source and on-premises solutions
• Additional knowledge in software engineering, frontend development, data analytics, C/C++, Git, DevOps, and Bitbucket would be considered an advantage, as would knowledge of MATLAB unit testing

What you'll love about working here:

• Dedicated Innovation Labs – We help the world's largest innovators engineer the products and services of tomorrow by leveraging our experts and labs, dedicated to topics such as 5G, 6G, AI, Autonomous Vehicles, and Quantum. As a Data Engineer in defence, you will be working at the forefront of technological innovation.
• Digital Campuses and Academy – Our engineering academy offers more than 60,000 hours of training, alongside our digital campus covering GenAI, data, and sustainability. Whether you're looking to deepen your expertise in data engineering tools or explore new AI/ML methodologies, we support your learning journey at every step.
• Global Tech Challenges – Capgemini hosts annual group-wide competitions, such as the Global Data Science Challenge and Tech4PositiveFutures, addressing world issues like climate change and biodiversity by applying technology for innovative solutions. As a Data Engineer, you will have the opportunity to contribute your skills to challenges that go beyond your day-to-day role.