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 aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.Mandatory Skills
- Programming & analytics: Strong proficiency in Python (and/or SQL) for data analysis.
- Data querying: Strong expertise in SQL for extracting, joining, and transforming data.
- Data modeling & reporting: Good experience designing data models and building reliable reporting structures.
- BI/Dashboarding: Good experience with dashboarding/visualization tools (e.g., Power BI or equivalent).
- Statistical thinking: Solid understanding of descriptive statistics and key analytical methods (segmentation, trends, correlations, basic inference).
- Data quality: Experience implementing data validation checks and ensuring dataset reliability.
- Databases: Good experience working with relational databases such as PostgreSQL (or equivalent).
- Testing mindset: Experience supporting validation/testing for data pipelines (e.g., data checks, unit tests for transformations).
- Collaboration & mindset: Autonomy, technical excellence, clear communication, teamwork, problem-solving, adaptability, curiosity, and continuous improvement.
- Development practices: Familiarity with software/data lifecycle concepts and tools such as Git and Agile processes.
- undefinedDesired Skills
Experience with data warehouses/lakehouses (e.g., Snowflake, Databricks, or similar).Experience with time-series analysis, forecasting, or causal impact methods.Good experience in preparing technical documentation for datasets, metrics, and analytical workflows.Good experience with CI/CD for data pipelines and GitLab CI/CD.Experience integrating LLM/AI-enabled analytics (e.g., automated insight generation, structured reporting, or enhanced querying) if applicable to the environment.
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.
Skills Required
- Strong proficiency in Python and/or SQL for data analysis
- Strong expertise in SQL for extracting, joining, and transforming data
- Experience designing data models and building reliable reporting structures
- Experience with dashboarding and visualization tools such as Power BI or equivalent
- Understanding of descriptive statistics and analytical methods including segmentation, trends, correlations, and basic inference
- Experience implementing data validation checks and ensuring dataset reliability
- Experience with relational databases such as PostgreSQL or equivalent
- Experience supporting validation and testing for data pipelines, including data checks and transformation unit tests
- Autonomy, technical excellence, communication, teamwork, problem-solving, adaptability, curiosity, and continuous improvement
- Familiarity with software and data lifecycle concepts, Git, and Agile processes
- Experience with data warehouses or lakehouses such as Snowflake or Databricks
- Experience with time-series analysis, forecasting, or causal impact methods
- Experience preparing technical documentation for datasets, metrics, and analytical workflows
- Experience with CI/CD for data pipelines and GitLab CI/CD
- Experience integrating LLM or AI-enabled analytics
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.
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