Senior Data Engineer

Reposted 3 Days Ago
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Bucharest, București
In-Office
Senior level
Artificial Intelligence • Big Data • Information Technology • Security • Software
The Role
Design, build, and maintain scalable ETL pipelines and data infrastructure using Spark and Kafka. Work with SQL/NoSQL databases, containerized deployments (Kubernetes), and collaborate with data scientists and engineers to ensure reliable, performant data flows and documentation.
Summary Generated by Built In
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: Senior Data Engineer

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:

  • 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.

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 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.
  • French (B1)

Behavioral skills:

  • 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!

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.

Top Skills

Python,Java,Apache Spark,Apache Kafka,Kubernetes,Sql,Nosql,Etl
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The Company
Arlington, VA
63,258 Employees

What We Do

Thales is a global high technology leader investing in digital and “deep tech” innovations – connectivity, big data, artificial intelligence, cybersecurity and quantum technology – to build a future we can all trust, which is vital to the development of our societies. The company provides solutions, services and products that help its customers – businesses, organisations and states – in the defence, aeronautics, space, transportation and digital identity and security markets to fulfil their critical missions, by placing humans at the heart of the decision-making process.

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