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.

Senior Data Engineer

Background: Join us in building the future of engineering productivity. We're creating a ground-breaking agent garden that will transform how 40,000+ engineers work - enabling seamless connections between AI systems, engineering tools, and data while fostering a thriving marketplace of AI agents and services.

Main responsibilities:

• Design, build, and maintain scalable and reliable data pipelines with various data sources
• Develop ETL / ELT processes using tools like Data Fusion GCP and DataFlow GCP (Apache Beam)
• Collect and process the data in a suitable format for the organization needs. Perform and integrate data quality checks to identify and correct errors or discrepancies.
• Create and maintain documentation related to data flows and model, transformations applied, and validation procedures.
• Optimize performance and cost-efficiency of GCP data services
• Ensure security and compliance best practices in data handling
• Maintain clear and close collaboration with both the development team and the project stakeholders/ key users.

Requirements:

• Bachelor’s degree in Computer science, Computer Engineering, or relevant technical field.
• 5 + year of experience with cloud data platforms (e.g., AWS, Azure, GCP). GCP is highly desirable or at least a minimal experience.
• Strong experience with DataFlow (GCP) and Apache Beam.
• Proficiency in Python (or similar languages) with solid software engineering fundamentals (testing, modularity, version control).
• Hands-on experience with SQL and NoSQL data stores, such as PostgreSQL, Redshift, DynamoDB, or MongoDB
• Good understanding of data warehousing and modern architectures (e.g., data Lakehouse, data mesh)
• Familiarity with DevOps/CI-CD practices, infrastructure-as-code (Terraform, CloudFormation), and containerization (Docker/Kubernetes)
• Understanding of data quality, observability, lineage, and metadata management practices
• Good communication and relationship with the stakeholders and team members
• Capable to give and receive feedback; able to listen and share, able to give constructive feedback
• English Fluent, French would be a plus
• Agile mindset & practices

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.