Data Engineer

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.We are strategically positioned to build value, with a global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centers and unique best-shoring capabilities.We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment

tions from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”.

As a Data Engineer, you will join a multidisciplinary development team within the Engineering Department. You will be responsible for: • Designing, developing, deploying, validating, and testing data pipelines and data architectures to support engineering and analytics needs. • Defining and implementing efficient data architecture and data structures to ensure consistency, scalability, and performance across platforms. • Setting up, maintaining, and optimizing databases, data lakes, and related storage solutions for structured and unstructured data. • Developing data pipelines to support the execution of machine learning algorithms and other advanced data processing workflows. • Managing and improving CI/CD pipelines to automate testing and deployment processes, code quality and development efficiency. • Collaborating closely with software developers, data scientists, and engineers to ensure data systems meet project and business requirements. • Contributing to the continuous improvement of development practices, testing strategies, and data engineering standards.

• You hold a Master’s degree in Computer Science, Engineering, Informatics, or an equivalent field, ideally with a specialization in Data Engineering, Data Science, or a related discipline. • You have solid experience in data engineering and are proficient in Python, SQL, Spark, and Docker, particularly for data processing, AI applications, and automation. • You are familiar with data engineering and development 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. • Knowledge of MATLAB unit testing is a plus. • You have a strong interest in opensource and on-premises solutions and stay informed about the latest trends and innovations in the field. • You are comfortable working in a multidisciplinary team and can communicate clearly, effectively, and concisely with both technical and nontechnical stakeholders. • You demonstrate strong attention to detail and a commitment to technical excellence, quality, and reliability. • Additional knowledge in software engineering, frontend development, data analytics, C/C++, Git, DevOps, and Bitbucket would be an advantage.