Source-listed Job

Data Engineer (Big Data Processing)

CSIT develops products to advance the national security interests of Singapore. We use our products in a wide range of use-cases, including but not limited to Counter-terrorism and

Job Source description available
Csit Singapore, Singapore, Singapore Source published Mar 26, 2026 Source retrieved Oct 8, 2026
Source: Csit (lever) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull-time

Overview

CSIT develops products to advance the national security interests of Singapore. We use our products in a wide range of use-cases, including but not limited to Counter-terrorism and

Full job description

CSIT develops products to advance the national security interests of Singapore. We use our products in a wide range of use-cases, including but not limited to Counter-terrorism and Computer Network Defence. We are looking for talented senior data engineers to lead and build mission-critical products that identify, analyse and investigate threats.

As a data engineer in a team that is responsible for mission-critical data analytics systems, you will contribute to the development and maintenance of high-performance data pipelines and systems related to national security. You will be involved in complex technical projects to collect, parse and process large datasets with the aim of turning them into useful information and insights. Join us to seize the opportunity to use cutting-edge technologies to protect the nation.

Design and build data pipelines that are scalable, robust and maintainable to ingest crucial data using cutting-edge platforms and technologies Work with product managers, engineering managers and key stakeholders to deliver impactful data products that meet our business needs Optimise performance of large-scale data pipelines for low latency, high throughput and high reliability Ensure data integrity, quality and governance through robust design and operational monitoring Build and experiment with Agentic AI systems (e.g. multi-step autonomous agents, tool-using LLM workflows) Troubleshoot and resolve complex issues in critical data pipelines Implement data engineering best practices, including testing, orchestration and monitoring of data pipelines Participate in technical discussions with the team and key stakeholders to shape the future of our data products

A degree or professional qualification in Computer Science or equivalent Strong foundations in programming languages such as Scala or Java Familiarity with the following technologies: Spark, Kafka, Hadoop, Elastic stack, Kudu Familiarity with AI-assisted development tools and concepts, exposure to agentic AI systems would be a plus Able to communicate technical details effectively and clearly Good interpersonal, analytical and problem-solving skills to get things done in a dynamic environment

The work is purposeful and meaningful You will get to work with talented and driven people We work with modern technologies and tech stacks We have excellent engineering culture and work-life balance We aspire for engineering and operational excellence We empower to innovate

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