Job Description

About Sembcorp

Sembcorp is a leading energyand 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.

Key Roles and 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.

Qualifications, Skills & Experience

Background in Data Science & Analytics, Computer Science or equivalent Strong analytical and problem-solving skills Familiarity with Azure cloud services Knowledge of ETL/ELT concepts and modern data processing patterns

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!
Working Location: 30 Hill Street Singapore 179360

Job Snapshot

Updated Date
12-11-2025
Job ID
Job ID3645
Department
Data Science & Analytics
Location
Singapore, Central, Singapore
Employee Group
Attachment
Employee SubGroup*