Mid Data Engineer (with French)

Location: Bucharest, Romania

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.

Role: Mid Data Engineer (with French)

Ready to shape robust data ecosystems for the future with Thales Romania? Join a passionate, global team at the forefront of innovation in AI, aerospace, security, and beyond. As a Data Engineer, you’ll work hands-on with the latest technologies and collaborate closely with experts from Romania and France.

About the Role:

We are looking for a skilled and motivated Data Engineer to join our team. In this role, you will design, build, and maintain robust data pipelines and scalable data infrastructure, enabling the efficient and secure flow of data across our organization. You will work closely with data scientists, analysts, and software engineers to ensure reliable data processing and availability.

Responsibilities

• Develop, automate, and maintain data ingestion and transformation pipelines using AWS Glue, PySpark, and Apache Airflow, ensuring reliable and high-performance integration from diverse sources (S3, RDS, DynamoDB, external APIs).
• Participate in the management and optimization of data storage in AWS solutions (S3, Redshift, Aurora, DynamoDB), ensuring data is structured, secured (IAM, encryption), and governed across its lifecycle.
• Design and deploy robust ETL workflows, including the cleaning, transformation, and enrichment of data to make it usable for business teams and analytics tools (Qlik, SAP BO, Athena).
• Collaborate with Data and IT teams to provide, test, and validate datasets, SQL queries, and visualizations while maintaining the quality, performance, and security of all data processes.
• Ensure monitoring, versioning, and continuous improvement of data processes using CI/CD tools (Gitlab, Jenkins) and monitoring solutions (Datadog); contribute to technical documentation and share best practices within the team.

Required competencies/experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• Proven experience as a Data Engineer or in a similar role.
• Strong programming skills in Python, PySpark.
• Experience in Cloud data solutions (AWS S3, Athena, Glue Data Catalog,…)
• Proficiency in working with various database technologies (both SQL and NoSQL).
• Hands-on experience with Apache Kafka for data streaming.
• Excellent communication skills (written and verbal).
• Experience working in an Agile team.

Nice to have:

• Experience in banking sector.
• Programming skills in Java.
• Familiarity with CI/CD pipelines.
• Experience working in a SAFe team.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.