Intern, Data Engineering & ML Pipeline

About Sembcorp Group

• About Sembcorp Sembcorp is a leading energy and urban solutions provider headquartered in Singapore.
• Led by its purpose to drive energy transition , Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.
• Our Culture at Sembcorp At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition.
• We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests.
• Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together.
• Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence.
• These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.
• Join us in making a real impact!

Responsibilities

• Maintain scalable data pipelines (batch and real-time streaming) using modern data engineering frameworks.
• Integrate and process data from diverse sources — including APIs, structured/unstructured datasets, IoT sensors, and streaming platforms.
• Collaborate with engineering and data science teams to architect and implement AI-driven data workflows and ML pipeline components.
• Work with cloud and Big Data technologies to develop reliable, high-performance data platforms and analytics systems.
• Automate data workflows and develop reusable engineering components to improve efficiency, reliability, and scalability.
• Apply analytical thinking to design data-driven solutions and support innovation across data & AI initiatives.
• Contribute to the development and optimization of production-grade pipelines, ensuring robustness, scalability, and fault-tolerance.
• Participate in projects building next-generation Renewable Analytics platforms and AI-assistant-powered data engines.

Requirements

• Strong analytical and problem-solving skills
• Familiarity with DataBricks and Azure cloud services
• Knowledge of ETL/ELT concepts and modern data processing patterns
• Basic knowledge in Python/SQL

Working Location

30 Hill Street Singapore 179360