All jobs Remote Browse Skills

Search jobs collected from company career pages and public sources, in one place.

Built by Darshit Gajjar. Follow me:

Explore

All jobs Browse all categories Remote jobs Junior roles Senior roles

Popular

AI engineering Frontend Backend Data science

Legal

Disclaimer & Terms Job safety tips Report a job

Jobyssey is a job search engine. We are not the employer or a recruiter and do not verify listings. Jobs link to third-party sites and you apply there at your own risk. Never pay to apply for a job. Company names and trademarks belong to their owners. See the full disclaimer.

© 2026 Jobyssey

Home Jobs Remote Explore

Data Engineer at nSearch Global – Singapore | Jobyssey

Home
Jobs
Data engineering jobs
Data Engineer

Data Engineer

nSearch Global · Singapore, Singapore · 3 weeks ago

Apply on company site

Before you apply

Jobyssey is a search engine. We don't post, own or verify this job and are not the employer or a recruiter. You'll apply directly on en-sg.whatjobs.com, under that site's terms.

Never pay to apply, for training or equipment, and never share bank details, ID documents or passwords before you've confirmed the employer is real.

Job safety tips Report this job Disclaimer

Category: Data engineering
Experience: 2+ years

analytics api aws azure ci-cd cloud cloud-native data-engineering data-modeling data-pipelines data-quality elt etl event-driven-architecture

Explore more jobs

Data engineering jobs Remote Data engineering jobs Jobs in Singapore Data engineering jobs in Singapore

infrastructure-as-code

test-automation

version-control

Designs, builds, and operates production-grade ETL/ELT data pipelines and cloud/hybrid data stores on AWS or Azure, integrating data from APIs, databases, files, and streams for an Asia-Pacific client organization. The role is Singapore-based and sourced via recruitment firm nSearch Global.

Our client, one of Asia-Pacific's leading organizations is looking for:

Responsibilities:

Design, build, and operate production-grade data pipelines for data extraction, ingestion, transformation, and loading (ETL/ELT)
Integrate data from on-premises systems, enterprise applications, APIs, databases, SaaS platforms, files, streams, cloud services, and other operational data sources
Develop batch, incremental, change-data-capture, streaming, and event-driven ingestion patterns based on source-system and business requirements
Design and maintain cloud-native and hybrid data stores, data lakes, and analytical datasets
Build trusted datasets and reusable data products for applications, dashboards, operational reporting, and analytics

Requirements:

Degree with 3-5 years of experience in data engineering, cloud data engineering, analytics engineering, software engineering, or a related discipline
2 years of hands-on experience designing, building, and operating production-grade data pipelines
Demonstrated experience with data extraction, ingestion, ETL/ELT, transformation, data modelling, and data quality
Experience using AWS and/or Azure native data capabilities
Experience integrating data from APIs, databases, enterprise systems, files, or streaming sources
Experience implementing batch, incremental, CDC, and/or event-driven data pipelines
Experience working with on-premises and/or cloud environments, with an understanding of hybrid integration patterns
Experience applying software-engineering practices such as version control, automated testing, CI/CD, monitoring, and Infrastructure as Code to data solutions

-------------------------------------------------------------------------------------------------------------

-------------------------------------------------------------------------------------------------------------

EA License Number: 10C3636