Data Engineer - Content Processing

Key Responsibilities

• Data Pipeline Engineering: Architect, design, and maintain reliable, high-throughput pipelines that ingest, route, and process vast volumes of unstructured data. You will integrate AI models for automated data classification and information extraction, while ensuring latency and throughput meet mission-critical standards.
• Data Transformation & Enrichment: Develop and optimize transformation logic that parses complex content, implements chunking strategies, and generates high-quality vector embeddings for downstream retrieval. You will ensure data is enriched and structured for maximum analytical value.
• Hybrid Retrieval Systems: Build and support robust hybrid indexing systems that seamlessly combine high-speed keyword search with vector-based semantic search. You will engineer solutions that allow analysts to retrieve precise insights from enriched content instantly.
• Multimedia Processing: Engineer scalable solutions for video analysis and image recognition, integrating computer vision models to extract actionable metadata from diverse media formats within our data streams.
• Engineering Excellence: Uphold rigorous data quality and pipeline reliability standards while actively contributing innovative ideas to leverage AI for scaling operations. You will champion best practices in code quality, testing, and system observability.
• Cross-Functional Collaboration: Partner closely with frontend engineers, data scientists, and product managers to deliver seamless, high-performance data services that meet the rigorous needs of national security operations.

Requirements (Minimum Qualifications)

• A degree or professional qualification in Computer Science or a related field, with proven hands-on experience in data engineering or software development.
• Experience in building scalable ETL/ELT pipelines to process, transform, and validate large datasets.
• Good grasp of data quality principles, pipeline reliability patterns, and the ability to communicate complex technical concepts clearly.

Nice to Have

• Exposure to vector databases, text embedding techniques, LLM integration, or semantic search frameworks (curiosity and a willingness to master AI concepts are highly valued).
• Familiarity with container-based environments (Docker/Kubernetes) and modern CI/CD practices.
• Experience with multimedia processing tools or computer vision libraries.
• Background in handling high-volume, unstructured data in cloud-native environments.

Why Join Us?

• Work that matters: Your pipelines will directly support Singapore's national security by turning raw data into actionable insights.
• Cutting-edge tech: Gain hands-on experience deploying AI solutions and modern, cloud-native data technologies at meaningful scale.
• Collaborative culture: Join a talented team with a strong engineering ethos and a commitment to real work-life balance.
• Room to grow: We invest in our engineers, creating space for you to innovate in the intersection of data engineering and artificial intelligence.