Thales Services Numériques delivers and maintains critical applications for clients, driving digital transformation and operational excellence. Our projects follow Agile methodologies with collaboration between technical teams,
business stakeholders, and partners.
The Data Engineer designs, secures, and maintains data pipelines on cloud environments (Azure, AWS, Databricks), collaborating with business and technical teams.
Required competencies/experience:
- In-depth expertise on the Databricks (DBX) platform: cluster configuration and optimization, Delta Lake, Unity Catalog, and large-scale Spark workload execution.
- Strong, proven experience with enterprise cloud environments, specifically Microsoft Azure (ADF, AZF, ADLS) or AWS.
- Advanced proficiency in Python for high-performance data processing, algorithmic optimization, and
- data engineering workflows.
- Design and build scalable end-to-end data pipelines (ETL/ELT) ingesting heterogeneous data sources
- into curated, analytics-ready formats to deliver business value.
- Implementation of DataOps and DevOps best practices: automated CI/CD pipelines, automated testing, version control (Git), and deployment automation.
- Strong knowledge and rigorous application of software development methodologies (clean code, modular architecture, code reviews, testing frameworks, and lifecycle management).
- Hands-on experience with spec-driven development to enforce strict requirement alignment, contract testability, and deterministic delivery.
- Leverage agentic acceleration and AI-assisted tooling (AI agents, code assistants, generative automation) to significantly boost engineering productivity across the delivery lifecycle.
- Ensure maintenance in operational conditions (MCO), security compliance, resilience, and horizontal scalability of managed data platforms and pipelines.
- Ensure pipeline performance monitoring, alerting, root-cause incident/problem management, and continuous FinOps cost optimization (compute clusters and storage).
- Partner with business teams to guarantee data relevance, completeness, and consistency through automated validation, cleansing, and ongoing quality tracking processes.
- Recommend and deploy tailored data technologies and architectures for technical business use cases (data consumption, data modeling, interoperability, middleware).
- Establish the operational framework and author comprehensive technical, architectural, and runbook documentation for all developments.
- English is mandatory (spoken and written, collaborating in an international environment).
Nice to Have
- Knowledge of JIRA and Confluence tools.
- Cloud certifications (Azure, AWS) or Databricks.
- Knowledge of data modeling best practices.
- Experience with data visualization tools.
Your Career at Thales:
Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas:
- Room and attention to personal development.
- Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex solution.
- Choose between a technical expertise or a leadership path.
- Build an international career within a leading Engineering Group.
- Work for different Thales domains & entities.
Your Immediate Benefits
- 24 holiday days a year
- Benefit Online
- A good work-life balance which includes flexible working hours
- A comprehensive compensation and benefit package including medical coverage & life insurance
- Hybrid Workplace
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.
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.
Skills Required
- In-depth expertise with Databricks, including cluster configuration and optimization, Delta Lake, Unity Catalog, and large-scale Spark workloads
- Strong enterprise cloud experience with Microsoft Azure or AWS
- Advanced Python proficiency for data processing and engineering workflows
- Experience designing and building scalable end-to-end ETL/ELT data pipelines
- Experience implementing DataOps and DevOps practices, including CI/CD, automated testing, Git, and deployment automation
- Knowledge of software development methodologies, clean code, modular architecture, code reviews, testing frameworks, and lifecycle management
- Hands-on experience with spec-driven development
- Experience using AI-assisted tooling or agentic acceleration for engineering productivity
- Experience maintaining secure, resilient, scalable operational data platforms and pipelines
- Experience with pipeline monitoring, alerting, root-cause analysis, incident management, and FinOps optimization
- Experience implementing data validation, cleansing, quality tracking, and consistency processes
- Experience recommending and deploying data technologies and architectures for business use cases
- Experience creating technical, architectural, and runbook documentation
- Fluent spoken and written English
- Knowledge of Jira and Confluence
- Azure, AWS, or Databricks certifications
- Knowledge of data modeling best practices
- Experience with data visualization tools
Thales Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thales and has not been reviewed or approved by Thales.
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Retirement Support — Retirement plans with employer contributions and matches, profit sharing, and share purchase opportunities are emphasized across multiple regions. These elements are positioned as competitive components of total rewards.
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Leave & Time Off Breadth — Generous PTO that increases with tenure, paid holidays, and paid military, maternity, and paternity leave are described. This breadth supports work–life balance across locations.
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Flexible Benefits — Hybrid work options, flexible schedules, and parental supports such as childcare benefits and leave for sick children are available in several markets. Flexibility is presented as a core part of the employee experience.
Thales Insights
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.
