Data Scientist (IFE DCC)

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 were driven by a mission to build a future we can all trust.

We are seeking a Data scientist to design build and scale robust data platforms that power analytics AI and next-generation inflight digital services within the Thales In-Flyt Experience ecosystem.

This role combines hands-on engineering excellence with data architecture responsibilities enabling secure scalable and high-performance data solutions across edge and cloud environments.

Responsibilities

• Design develop and maintain efficient ETL pipelines for ingesting processing and transforming large-scale data from multiple sources (batch and near real-time).
• Design and implement scalable data architectures and analytics pipelines leveraging modern data platforms such as Databricks and Spark-based ecosystems.
• Design and implement efficient data models (dimensional normalized and curated layers) to support analytics and operational use cases.
• Define and enforce data quality validation and observability frameworks
• Drive performance tuning and cost optimization across compute and storage layers.
• Collaborate with engineering platform and product teams to operationalize data-driven insights within production environments.
• Drive the exploration and adoption of AI/ML use cases defining architecture selecting best-fit tools and frameworks and enabling scalable production-grade data-driven intelligence across platforms.

Requirements

• Strong background in analyzing large and complex datasets using distributed data processing frameworks such as Spark Databricks or similar platforms.
• Experience designing and implementing data architectures ETL/ELT pipelines and scalable data processing solutions.
• Experience working with Databricks ecosystem (Delta Lake Spark SQL Databricks workflows) is highly desirable.
• Proficiency in SQL and Python for data processing and transformation.
• Demonstrated ability to solve multidisciplinary data-driven problems.
• Strong understanding of data modeling data warehousing concepts and lakehouse architecture.
• Experience with cloud platforms (AWS Azure).
• Experience with Kubernetes (K8s) containerized workloads and microservices infrastructure is a plus.
• Experience with designing and enabling secure scalable data sharing using open standards (e.g. Delta Sharing) to support cross-organization data access is a plus
• Experience building or supporting data pipelines for AI/ML use cases including feature engineering data preparation and integration with tools such as MLflow LLM frameworks or vector databases is a plus.
• Relevant certifications such as Databricks Certified Data Engineer Associate/Professional and Python Institute certifications (e.g. PCEP PCAP) are a plus.
• Ability to work independently and as part of a team.
• Excellent communication skills (written and verbal)

Other Information:

• Working Location: Suntec City

• Working Hours: Monday - Friday 9am - 6pm

At Thales were committed to fostering a workplace where respect trust collaboration and passion drive everything we do. Here youll 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.