Editorial summary

The company is seeking a Senior Data Engineer to design, implement, and maintain data flow channels and processing systems for the collection, storage, batch and real-time processing of information in a scalable, secure manner. The role focuses on defining optimal data collection, processing, and warehousing solutions, and involves designing, coding, testing, and integrating data systems into the internal infrastructure. Key requirements include experience in data engineering, collaboration with stakeholders such as customers and partners, and the ability to deliver repeatable solutions. The position offers a salary of 6500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/t04-junior-senior-data-engineer-permanent-role-41728 first appeared in Job-Q.com on 06 Nov 2026]

We are seeking a Senior Data Engineer that supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner. The Senior Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He / She designs, codes and tests data systems and works on implementing those into the internal infrastructure.

Job Responsibilities:

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs;
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);
• Define, monitor and report SLAs for data pipelines and data products;
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements;
• Drive/execute data quality assurance practices; and
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Qualities We Value

• Shall have at least three (3) years' experience in building and optimising data pipelines, architecture and datasets using DI/ETL technology (Informatica, Talend etc).
• Shall have experience in supporting data transformation, data structures, metadata, dependency and workload management, big data technologies (e.g.,Sparks, Hadoop, Hive).
• Shall have the following skill sets: Data Wrangling, Data Visualization, DBMS, SQL, Python
• Experience in multiple data source support (flat files, SQL database, SAP database, PostgreSQL database, unstructured data not limited to text, documents, images, digitalized video, digitalised audio, sensor data) would be advantageous.
• Experience in these products/tools would be advantageous: MS Access (Front-end), SharePoint (Back-end), Power BI (Visualisation), Kubernetes, Docker/Podman, Microservices Architecture, DevSecOps Methodology

(EA Reg No: 20C0312)

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