Data Engineer

Location: Singapore, Singapore 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. In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Summary: Thales Avionics (AVS) in Singapore consists of manufacturing and repair activities for aircraft OEM and airlines respectively. This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. Responsibilities: Work closely with data scientists to understand their needs and provide the data they require. Work closely with domain stakeholders to translate business problem into analytical/AI Modelling/ML solutions and clear metrics. Design, build, and maintain scalable and reliable data pipelines, software and interfaces with various data sources. Involve and manage end-to-end solution cycle: discovery -> feature engineering -> Modelling/experimentation/POC/Pilot -> deployment -> Monitoring -> propose next steps Serve as a technical bridge, collaborating closely with cross-functional teams to ensure alignment and smooth execution of projects. Collect and process the data in a suitable format to support various analytical requirements. Oversee data gathering, cleaning, and preprocessing, ensuring data quality and readiness for analysis. Perform and integrate data quality checks to identify and correct errors or discrepancies. Lead exploratory data analysis and machine learning model development to uncover insights, trends, and optimization opportunities. Design models tailored to meet specific project goals, and continually iterate to ensure optimal performance and alignment with business value objectives. Create and maintain documentation related to data flows and model, transformations applied, and validation procedures. Establish and monitor performance metrics to track the success and ROI of deployed tools and models. Dashboard Development: Design and implement interactive dashboards using PowerBi, Flask (or similar web frameworks), ensuring intuitive visualization of complex datasets for business and technical stakeholders. Data for Digital Twin & Simulation: Build and maintain data input for digital twin environments by modeling processes, simulating outcomes, and integrating live data streams through JSON, XML, and APIs. AI/Chatbot Solutions: Develop and support intelligent chatbot systems leveraging Retrieval-Augmented Generation (RAG) and related AI technologies to improve knowledge accessibility and user interactions. Requirements: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Proficiency in Python (or similar languages), SQL, and experience with big data technologies like Hadoop, Spark, or similar. Hands-on experience with SQL and NoSQL data stores, such as PostgreSQL. Strong analytical skills and the ability to work with large datasets. Dashboarding and Web Technologies: Hands-on experience with PowerBI ,Flask (or similar frameworks),building interactive dashboards, and integrating visualization tools. Data for Digital Twin Simulation: Experience in modeling, simulating, and ingesting data through JSON, XML, and APIs for real-time or near-real-time systems. Chatbot and AI-Powered Solutions: Familiarity with Retrieval-Augmented Generation (RAG) and other chatbot frameworks for knowledge-based interaction systems Other Information: Work Location: Changi North Rise Working Days: Monday - Friday Company transport provided from designated MRT stations. 1 Year Contract, able to renew/extend based on business requirements At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. #J-18808-Ljbffr