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Data Engineer

Red Alpha (redalpha.io)

Data & AISingapore

Job Description

Red Alpha Cybersecurity is looking for aspiring Data Engineers who are passionate about building robust data pipelines and enabling data-driven solutions. You’ll work closely with cross-functional teams, including data scientists, analysts, and software engineers. To deliver high-performance, production-grade data infrastructure. What You’ll Be Doing • Design, build, and maintain scalable, reliable data pipelines to support diverse business and AI applications • Take ownership of pipeline health. Proactively monitor performance, debug issues, and improve data quality • Collaborate with cross-functional teams to translate data needs into technical solutions • Implement data pipeline orchestration using tools such as Apache Airflow or AWS Step Functions • Optimise data storage and retrieval across RDBMS (Postgres, MSSQL), object stores (MinIO/S3), and graph databases (Neo4j) • Design data schemas (normalized, denormalized, star-schema) and enforce proper access and backup protocols • Support analytics, product development, and AI POCs with clean, well-managed data structures • Apply scripting (Python) and open-source tools to automate data workflows and ETL processes What You Should Know or Be Eager to Learn Preferred Technical Skills (not mandatory) • Python for scripting and data manipulation • Database technologies: PostgreSQL, MongoDB, Neo4j • Cloud and storage systems: MinIO, AWS S3, AWS tech stack (preferred) • Data orchestration tools: Apache Airflow, AWS Step Functions • Familiarity with BI tools like Tableau • Comfort working in both Windows and Linux environments • Basic understanding of networks, OS commands, and system-level data operations Mindset We Look For • Strong problem-solving mindset with attention to detail • Customer-first attitude. Designing with real users and business needs in mind • Flexibility to adapt tools and approaches based on the use case • Eagerness to learn and grow in a high-performance tech environment All selected candidates will undergo a 11-week, fully sponsored on-job-training with allowance, before being deployed full-time for 3 years.

Listing closes 11 Dec 2026.

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