Data Engineer (AWS, Denodo, Python, SQL) – Singapore …

Rhino Partners is hiring experienced Data Engineers to support the development and maintenance of enterprise data products within a large-scale data platform environment. This role is ideal for engineers who enjoy building robust data pipelines, designing scalable data models, and working with modern AWS-based analytics platforms.
You will work closely with Product Managers, Business Analysts, Data Analysts, and Solution Architects to deliver high-quality, data-driven solutions that support analytics, reporting, and AI initiatives.
Key Responsibilities Data Engineering & Platform Development Design, develop, and maintain ETL/ELT pipelines using AWS services such as Glue, Athena, S3, and RDS Build and maintain automated data ingestion pipelines from internal and external systems Develop API integrations to collect and process data from third-party sources Perform data extraction, cleansing, transformation, and loading operations Work with data virtualisation tools such as Denodo and develop VQL queries
Data Modelling & Architecture Design conceptual, logical, and physical data models using tools such as ER/Studio Develop and maintain data warehouses, data lakes, operational data stores, and data marts Create analytical views and semantic layers to support BI and reporting needs Maintain enterprise data blueprints and architecture documentation Apply data governance, metadata, and master data management (MDM) best practices
Application Development & Integration Develop Python scripts in AWS Glue for data processing and automation Write efficient SQL and VQL queries, stored procedures, and transformations Build RESTful APIs to expose data services Support machine learning model deployment and integration using AWS SageMaker Optimise database performance through indexing, query tuning, and maintenance
DevOps & Delivery Implement and maintain CI/CD pipelines using GitLab and related tools Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives Conduct peer code reviews and collaborate through pair programming Ensure solutions are secure, scalable, and compliant with enterprise standards
Documentation & Stakeholder Collaboration Produce and maintain technical documentation for pipelines, models, and architecture Work with business and technical stakeholders to gather requirements and deliver solutions Provide technical guidance and support for data-related initiatives
Required Skills & Experience Minimum 3 years of experience in Data Engineering or a similar role Strong hands-on experience with Python and SQL Experience with AWS services including Glue, Athena, S3, RDS, and SageMaker Experience with Denodo or other data virtualisation platforms Strong understanding of data modelling and database design principles Experience building data warehouses, data lakes, and data marts Familiarity with BI tools such as Tableau or Microsoft Power BI Experience with GitLab and CI/CD pipelines Familiarity with Agile/Scrum delivery methodologies Strong analytical, troubleshooting, and communication skills
Nice to Have Experience with AWS Bedrock, Azure AI, or Large Language Models (LLMs) Knowledge of data governance and MDM frameworks Exposure to machine learning deployment workflows
Eligibility Requirements Due to the sensitive nature of the project, only Singapore Citizens and Singapore Permanent Residents (PRs) are eligible to apply.
Why Join Rhino Partners At Rhino Partners, we build modern digital products and data platforms for government agencies and enterprise clients across Singapore and Australia. You'll work alongside experienced engineers and architects on meaningful projects involving cloud data engineering, AI, and analytics.
If you enjoy solving complex data challenges and building scalable data products, we'd love to hear from you.