Data engineer

The people we all rely on to make the world go round – they rely on Thales.

Thales rely on its employees to invent the future: right here, right now.

Present in Romania for over 40 years, Thales is expanding its presence in the country

by growing its Digital capabilities and by developing a Group Engineering Competence Centre (ECC). Operating from Bucharest, Thales delivers solutions in a number of core businesses, from ground transportation, space and defence, to security and aeronautics.

Several professional opportunities have arisen. If you are looking for the solidity of a Global Group that is at the forefront of innovation, but with the agility of a human structure that tailors to the personal development of its employees and allows opportunities for evolution in an international environment, then this is the place for you!

Role: Data Engineer

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.

Key activities include:

• Design, develop, and maintain efficient ETL pipelines for ingesting, processing, and transforming large-scale data from multiple sources.
• Develop solutions using distributed computing frameworks such as Apache Spark.
• Work with both relational and NoSQL databases to ensure data integrity, optimization, and accessibility.
• Implement streaming and messaging solutions using Apache Kafka to support real-time data processing.
• Build and deploy data engineering solutions within containerized environments using Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
• Monitor and troubleshoot data pipelines to guarantee their stability and performance.
• Document technical designs, architecture, and operational procedures.

About you:

• 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 and/or Java.
• Solid understanding of ETL concepts and hands-on experience with ETL tools and frameworks.
• Experience with Apache Spark for distributed data processing.
• Proficiency in working with various database technologies (both SQL and NoSQL).
• Hands-on experience with Apache Kafka for data streaming.
• Familiarity with containerized environments and orchestration tools such as Kubernetes.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication skills (written and verbal).

Nice to have:

• Experience in cloud-based environments (AWS, GCP, Azure).
• Familiarity with CI/CD pipelines.

Your mindset:

• You know how to work in a team, even remotely, and you have strong interpersonal skills
• Dynamic, ability to solve problems and move subjects forward
• If you are passionate about leveraging cutting-edge technologies to drive data solutions and want to work in a dynamic and collaborative environment, we encourage you to apply!

Connect with Andreea Burcea, Talent Acquisition Partner #LI-BA1 who is eager to explore together with you this exciting opportunity.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!