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Data Engineer (Data & Systems Engineering)

Centre for Strategic Infocomm Technologies • Industrial Engineering • National Security • Python • Go • Java • SQL • C++ • ETL/ELT • Apache NiFi • 2 years ago

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Salary

≈ $51k – $111k per year (Estimated)

Location

In office (Singapore)

Seniority

Senior · 5+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 15, 2024. Centre for Strategic Infocomm Technologies scores C on the Alion truth index.

Overview

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Centre for Strategic Infocomm Technologies

The Centre for Strategic Infocomm Technologies is a Singapore government agency under the Ministry of Defence and a member of the Defence Technology Community. It builds advanced cybersecurity and secure digital systems that safeguard national security, conducting applied research in cybersecurity and developing artificial intelligence and data exploitation tools inside a self-built secure cloud environment. Its engineering work spans cybersecurity, artificial intelligence, data and software engineering and cloud infrastructure, and it recruits through undergraduate, diploma and computing scholarships as well as a traineeship.

csit.gov.sg • HQ: Singapore • Information Security • National Security • 501-1000 employees • Est. 2003

Tech stack of Centre for Strategic Infocomm Technologies

We are seeking a Data Engineer to join our Data & Systems Engineering team. In this role, you will be responsible for enhancing and optimizing the data flow between our systems and refining our data pipeline architecture. You will collaborate closely with cross-functional teams to gather requirements, design scalable solutions, and implement cutting-edge data products. The ideal candidate is passionate about driving the development of our next generation of data initiatives.

Key Responsibilities

Develop and maintain robust data pipelines for extracting, transforming, and loading data from diverse sources.
Identify, design, and implement process improvements, including automation of manual processes, optimization of data delivery, and design of scalable infrastructure.
Gather and analyze telemetry data to provide actionable insights, enhancing the efficiency of data systems and key business performance metrics.

Minimum Requirements

A degree or professional qualification in Computer Science, Computer Engineering, Information Systems, or a related field.
A minimum of 2 years of hands-on experience with object-oriented programming languages such as Python, Golang, Java, or C++. (Project/internship experience will be considered for recent graduates.)
Proficiency with both relational SQL and NoSQL databases.
Experience in building ETL flows using tools such as NiFi or Airflow.
Familiarity with microservices architecture and RESTful API design.

Preferred Qualifications

Experience with software development in Agile SCRUM environments, including testing and production error/metrics monitoring.
Expertise in building scalable, fault-tolerant, and maintainable data pipelines.
Proficiency in big data tools such as Hadoop, Spark, and Kafka.
Experience with search engines like Elasticsearch or Solr.

Considerations for senior positions

Candidates with at least 5 years of proven track record in data engineering development.
Experience in technical coaching to junior data engineers.

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