Data Engineer

Nicoll Curtin; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Nicoll Curtin in Singapore is seeking a senior data engineer to lead and maintain overseas data warehouse and platform solutions across mobile, IoT, application, and business domains.

You will build scalable batch and real-time data pipelines using SQL, Spark, Flink, Hadoop, and related tools, develop robust data models, and create dashboards and data products for clear business insights.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• At least 5 years of experience in data engineering, data platform development, or large-scale data warehouse implementation.
• Strong hands-on experience with SQL, Spark, Flink, Hadoop, data modeling, and structured or unstructured data processing.
• Proven ability to design high-volume data warehouses and optimize data pipelines for performance, reliability, and usability.
• Experience building dashboards, reporting platforms, visualization solutions, and business-facing data applications.
• Good communication skills with the ability to work effectively with technical and non-technical stakeholders.

Responsibilities

• Lead, design, enhance, and maintain overseas data warehouse and data platform solutions across mobile device, IoT, application, and business data domains.
• Develop scalable batch and real-time data pipelines using SQL, Spark, Flink, Hadoop ecosystem tools, and related big data technologies.
• Build reliable data models and warehouse layers, including ODS, DWD, DWS, and ADS, to support analytics, reporting, and business decision-making.
• Optimize distributed data processing workflows to improve performance, stability, scalability, and efficiency.
• Establish data governance practices covering data quality, lineage, metadata, standards, and consistency across integrated data sources.
• Create dashboards, visualization tools, reports, and data products that convert complex data into clear business insights.
• Collaborate with business, product, analytics, and engineering teams to translate requirements into practical and maintainable data solutions.

Skills

Data engineering

Data pipelines

Stakeholder communication

Problem solving

Education

Bachelor's degree in Computer Science or related

Tools

SQL

Spark

Flink

Hadoop

Job description

• Lead, design, enhance, and maintain overseas data warehouse and data platform solutions across mobile device, IoT, application, and business data domains.
• Develop scalable batch and real-time data pipelines using SQL, Spark, Flink, Hadoop ecosystem tools, and related big data technologies.
• Build reliable data models and warehouse layers, including ODS, DWD, DWS, and ADS, to support analytics, reporting, and business decision-making.
• Optimize distributed data processing workflows to improve performance, stability, scalability, and efficiency.
• Establish data governance practices covering data quality, lineage, metadata, standards, and consistency across integrated data sources.
• Create dashboards, visualization tools, reports, and data products that convert complex data into clear business insights.
• Collaborate with business, product, analytics, and engineering teams to translate requirements into practical and maintainable data solutions.

Required Skills and Qualifications

• Bachelor’s degree or above in Computer Science, Data Engineering, Information Systems, or a related field.
• At least 5 years of experience in data engineering, data platform development, or large-scale data warehouse implementation.
• Strong hands-on experience with SQL, Spark, Flink, Hadoop, data modeling, and structured or unstructured data processing.
• Proven ability to design high-volume data warehouses and optimize data pipelines for performance, reliability, and usability.
• Experience building dashboards, reporting platforms, visualization solutions, and business-facing data applications.
• Good communication skills with the ability to work effectively with technical and non-technical stakeholders.

Preferred Skills

• Experience supporting overseas or global data environments is preferred.
• Mandarin proficiency is preferred as required to collaborate with counterparts.