Senior Data Engineer (1 Year Contract)

Job Title: Senior Data Engineer (1 Year Contract) Company: RHINO PARTNERS PTE. LTD. Job Category: Machine Learning Roles & Responsibilities: In this role, you will design, develop, and maintain scalable data platforms, pipelines, and integration solutions that support complex enterprise data requirements. You will work closely with cross\-functional teams to deliver reliable, secure, and high\-performing data solutions while driving DataOps best practices and continuous improvements. Key Responsibilities Data Engineering \& Platform Development Design, develop, and maintain scalable, reliable, and maintainable data platforms and architectures. Build and optimise ETL/ELT pipelines to support data ingestion, transformation, processing, and integration. Develop and implement data models, including OLTP, OLAP, and dimensional modelling, to support complex business requirements. Implement data integration solutions using APIs, data streaming, Change Data Capture (CDC), and message queues. Work with cloud\-based data platforms, data lakes, and big data technologies to support enterprise\-scale data processing. Implement and enhance DataOps practices, including CI/CD pipelines, automated deployments, workflow monitoring, and data observability. Troubleshoot complex data engineering issues, identify root causes, and implement sustainable solutions. Proactively refactor existing solutions and address technical debt to improve system maintainability. Take ownership of data engineering initiatives from solution design through implementation, testing, and deployment. Collaborate with application developers, architects, infrastructure teams, and business stakeholders to deliver integrated solutions. Understanding of data governance, security, privacy, and data quality management. Good communication and stakeholder management skills, with the ability to work independently and collaborate across teams. Exposure to machine learning, Large Language Models (LLMs), prompt engineering, or AI application development. Work Location: Bukit Timah, Singapore Availability: Full time

Ensure compliance with data governance, security, privacy, and regulatory requirements. Translate business and technical requirements into scalable data engineering solutions. Requirements Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, Applied Mathematics, or a related discipline. Minimum 5 years of hands\-on experience in data engineering, preferably within large\-scale enterprise environments. Strong proficiency in at least one programming language, such as Python, Scala, or Java. Experience with data integration approaches, including APIs, streaming, CDC, and message queues. Hands\-on experience with CI/CD pipelines, automated deployments, and DataOps practices. Experience with SHIP\-HATS or similar government cloud and DevOps environments. Prior experience delivering data platforms or digital transformation initiatives within the public sector. Collaborate with experienced technology professionals in an environment that encourages ownership, innovation, and continuous learning. Key Skills: Machine Learning, Python Salary: SGD 8000 - 12000 per monthly