Data Engineer (1 Year Contract)
Data Engineer (1 Year Contract)
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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 aerospace and space cybersecurity and digital identity were driven by a mission to build a future we can all trust.
In Singapore Thales has been a trusted partner since 1973 originally focused on aerospace activities in the Asia-Pacific region. With 2000 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. Together were shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.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. They oversee the end-to-end project lifecycle from requirements gathering and data analysis to model development deployment and performance monitoring.
This role holds a blend of project management expertise technical proficiency in data science and analytics and a deep understanding of industrial operations. He/She will be the initiator influencer and driving the stakeholders to emulate synchronize and connect to make Thales AVS more sustainable and competitive through innovation and collaboration to achieve industrial excellence.
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. Work closely with data engineers and other experts to acquire data from industrial sources including Test benches IoT devices sensors and SCADA systems.
- 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. Ensure deployed solutions are reliable scalable and aligned with best practices.
- 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:
- Bachelors 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 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.
Employment Type
Full-Time
