Senior Data Engineer – Pipelines & AI

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

Job summary

Illumina is seeking a Senior Data Engineer to design, develop, and maintain a common unified data framework and scalable data pipelines. You will collaborate with data scientists to build robust data models and tooling for ingestion, quality, monitoring, and governance. AI techniques to enhance data quality and automation will be explored.

The role focuses on optimizing data processing, ensuring data integrity, and enabling advanced analytics across large datasets in a fast-paced environment.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 6+ years of experience as a Data Engineer building production-grade pipelines and data models.
• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Responsibilities

• Design, develop, and maintain a common unified data framework enabling data integration from diverse sources.
• Create and optimize data pipelines for ingesting, processing, transforming, and storing large volumes of data.
• Collaborate with data scientists and analysts to translate data requirements into robust models.
• Develop and maintain data engineering tooling for data ingestion, quality, monitoring, and governance.
• Troubleshoot data pipeline issues to ensure uninterrupted data flow and performance.
• Evaluate and integrate third-party data tools and technologies to enhance data engineering capabilities.
• Apply AI techniques to improve data quality, monitoring, or development workflows.

Skills

Python

Scala

Java

Data quality

Data governance

Security

Data lineage

Troubleshooting

Communication

Data engineering

Automation

Continuous learning

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Microsoft .NET

Job description

Illumina is seeking a Senior Data Engineer to design, develop, and maintain a common unified data framework and scalable data pipelines. You will collaborate with data scientists to build robust data models and tooling for ingestion, quality, monitoring, and governance. AI techniques to enhance data quality and automation will be explored.

The role focuses on optimizing data processing, ensuring data integrity, and enabling advanced analytics across large datasets in a fast-paced environment.