
Mid BI Engineer - Lewis Engineering Agent AI Project
Job Description
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.
Mid BI Engineer - Lewis Engineering Agent AI Project
About the Role
We are seeking a passionate Middle BI Engineer to join our Thales Corporate Engineering team in Bucharest. The TCE division provides expertise, coaching, and governance for engineering activities, including product and project execution. It helps standardize methods and drives digital transformation in engineering. It also fosters communities of engineering professionals and supports organizational maturity and capability growth across Thales globally.
Key Responsibilities
Understand the functional aspects of the delivery by constructively discussing with the Product Owner and the Proxy Product Owner.
Create and maintain dashboards and reporting layers in Looker or Looker Studio.
Create technical specifications related to dashboards and KPI calculations.
Support product and business teams with ad-hoc analysis and data-driven recommendations.
Contribute to data modeling and mapping to ensure data integrity and quality.
Contribute to data strategy and governance initiatives to improve overall data maturity.
Required Qualifications
Bachelor’s degree in Computer Science, Math, Statistics, or a related field.
Proven experience as a Data Analyst, BI Engineer, or similar role in a technology-driven environment.
Good experience with Looker or Looker Studio for data visualization and dashboard creation.
Experience with GCP (Google Cloud Platform); GCP knowledge is highly desirable.
Strong analytical skills with the ability to translate complex data into clear insights.
Proficiency in SQL and NoSQL.
Experience with Python, R, or other statistical tools is a plus.
Good problem-solving abilities and attention to detail.
Good communication skills and ability to build relationships with stakeholders and team members.
Ability to give and receive feedback; able to listen, share, and provide constructive feedback.
Fluent English.
Agile mindset and practices.
Preferred Qualifications
French language skills would be a plus.
Your Career at Thales
Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competencies in different areas:
Room and attention to personal development.
Build your talents in another domain of Thales Group, discovering new products, new customers, new countries, or moving to a more complex solution.
Choose between a technical expertise or a leadership path.
Build an international career within a leading Engineering Group.
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.
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Job Details
- Category
- Technician
- Employment Type
- Full Time
- Location
- Bucharest, Romania (Hybrid)
- Posted
About Thales Alenia Space
Thales Alenia Space is a joint venture between Thales (67%) and Leonardo (33%) that manufactures telecommunications satellites, Earth observation systems, and space station modules.
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