Data Engineer | Cloud & Data Pipelines | Contract

NEXBRIDGE RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

NEXBRIDGE RECRUITMENT PTE. LTD. is seeking a Data Engineer to design, build and maintain production-grade ETL/ELT data pipelines. You will integrate data from databases, APIs, files, SaaS platforms and streaming sources, and develop streaming and event-driven data processes.

You will work with cloud environments (AWS/Azure), implement data quality controls, and collaborate with cross-functional teams to deliver trusted datasets and analytics-ready data products.

Qualifications

• 3–5 years of experience in Data Engineering, Cloud Data Engineering, Analytics Engineering, Software Engineering or related fields.
• At least 2 years of hands‑on experience building and operating production data pipelines.
• Strong experience with Python and SQL.
• Experience with ETL/ELT, data transformation and data modelling.
• Experience with AWS and/or Azure data capabilities.
• Experience integrating data from APIs, databases, enterprise systems or streaming sources.
• Knowledge of batch, incremental, CDC and/or event-driven data pipelines.
• Experience working with cloud and/or hybrid environments.
• Familiarity with Terraform/OpenTofu, CI/CD and automated testing.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build and maintain production-grade ETL/ELT data pipelines.
• Integrate data from databases, APIs, enterprise applications, files, SaaS platforms and streaming sources.
• Develop batch, incremental, CDC, streaming and event-driven data pipelines.
• Transform and structure raw data into reliable and trusted datasets.
• Design and maintain data models, data stores, data lakes and analytical datasets.
• Implement data validation, reconciliation and data-quality controls.
• Monitor data pipeline performance, freshness, reliability and processing latency.
• Build reusable datasets and data products for reporting, dashboards and analytics.
• Support data and analytics use cases, including machine-learning initiatives where required.
• Work with application, platform and infrastructure teams to establish reliable data integrations.
• Apply security, governance, access control and data-retention requirements.
• Support production incidents, troubleshooting and continuous improvement.

Skills

Data Engineering

Python

SQL

ETL/ELT

AWS/Azure

CI/CD

Data pipelines

Analytics

Tools

Terraform/OpenTofu

CI/CD tooling

Automated testing

Job description

Job Responsibilities

• Design, build and maintain production-grade ETL/ELT data pipelines.
• Integrate data from databases, APIs, enterprise applications, files, SaaS platforms and streaming sources.
• Develop batch, incremental, CDC, streaming and event-driven data pipelines.
• Transform and structure raw data into reliable and trusted datasets.
• Design and maintain data models, data stores, data lakes and analytical datasets.
• Implement data validation, reconciliation and data-quality controls.
• Monitor data pipeline performance, freshness, reliability and processing latency.
• Build reusable datasets and data products for reporting, dashboards and analytics.
• Support data and analytics use cases, including machine-learning initiatives where required.
• Work with application, platform and infrastructure teams to establish reliable data integrations.
• Apply security, governance, access control and data-retention requirements.
• Support production incidents, troubleshooting and continuous improvement.

• 3–5 years of experience in Data Engineering, Cloud Data Engineering, Analytics Engineering, Software Engineering or related fields.
• At least 2 years of hands‑on experience building and operating production data pipelines.
• Strong experience with Python and SQL.
• Experience with ETL/ELT, data transformation and data modelling.
• Experience with AWS and/or Azure data capabilities.
• Experience integrating data from APIs, databases, enterprise systems or streaming sources.
• Knowledge of batch, incremental, CDC and/or event-driven data pipelines.
• Experience working with cloud and/or hybrid environments.
• Familiarity with Terraform/OpenTofu, CI/CD and automated testing.
• Strong analytical and problem-solving skills.