Data Engineer, Content Processing & AI Pipelines

Centre for Strategic Infocomm Technologies; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Centre for Strategic Infocomm Technologies (CSIT) in Singapore is seeking Data Engineers to join a mission-critical team transforming hundreds of thousands of documents daily through large-scale pipelines. You will architect intelligent systems that ingest unstructured data, generate vector embeddings, and enable semantic search capabilities to uncover insights for analysts.

You will work across data pipeline engineering, transformation, enrichment, and hybrid retrieval systems, collaborating

Qualifications

• A degree or professional qualification in Computer Science or related field with hands-on data engineering experience.
• Experience building scalable ETL/ELT pipelines to process large datasets.
• Ability to communicate complex technical concepts clearly.

Responsibilities

• Architect, design, and maintain high-throughput data pipelines ingesting unstructured data and integrating AI models.
• Develop transformation logic and vector embeddings for downstream retrieval.
• Build and optimize hybrid indexing systems combining keyword and vector search.
• Engineer scalable multimedia processing for video and image metadata extraction.
• Maintain data quality, pipeline reliability, and observability standards.
• Collaborate with frontend engineers, data scientists, and product managers.

Skills

Data engineering

Software development

ETL/ELT pipelines

Data quality

Communication

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

CI/CD

Job description

Centre for Strategic Infocomm Technologies (CSIT) in Singapore is seeking Data Engineers to join a mission-critical team transforming hundreds of thousands of documents daily through large-scale pipelines. You will architect intelligent systems that ingest unstructured data, generate vector embeddings, and enable semantic search capabilities to uncover insights for analysts.

You will work across data pipeline engineering, transformation, enrichment, and hybrid retrieval systems, collaborating