Data Engineer | Defense

Capgemini Engineering; Diegem; On-site; EUR 60,000 - 90,000; Full time

Job summary

Capgemini Engineering in Belgium seeks a Data Engineer to design, build and optimize data pipelines and architectures supporting analytics and engineering needs.

You will work with Python, SQL, Spark and Docker, contribute to CI/CD processes with Jenkins, Jupyter, Superset and Dagster, and collaborate across software, data science, and production teams to strengthen data platforms in defence contexts.

Qualifications

• Master's degree required or equivalent in CS/Engineering/Informatics.
• 3–5 years of solid data engineering experience.
• Proficiency in Python, SQL, Spark and Docker for data processing and automation.
• Familiarity with data warehousing and open-source data tools is a plus.

Responsibilities

• Design, develop, deploy, validate, and test data pipelines and architectures for analytics and engineering needs.
• Define and implement data structures, databases, data lakes, and storage solutions.

Skills

Python

SQL

Spark

Docker

CI/CD

Education

Master's degree in Computer Science/Engineering/Informatics

Tools

Jenkins

Jupyter

Superset

Dagster

Kubeflow

Job description

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.

YOUR ROLE

• 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.

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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.