Senior Data Engineer: AI-Enabled Data Pipelines

NooveN; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Nooven in Singapore is building its Data & AI team and seeks a Senior Data Engineer who blends business analysis with engineering. You will understand business problems, identify data sources, and build reliable data solutions for a large international organisation.

This role is not purely hands-down coding. With AI-assisted development, the focus is on understanding real business needs, trusting data, and delivering practical, scalable data workflows quickly.

Qualifications

• 5+ years of experience in data engineering, data analysis or a hybrid BA / developer role.
• Strong Python and SQL skills.
• Hands-on experience with web scraping and API integrations.
• Cloud data environments, ideally Azure (AWS is a plus).
• Excellent communication skills: able to challenge and advise stakeholders.
• Autonomous, curious and quick to understand a new domain.

Responsibilities

• Work directly with business users to understand data needs, sources and quality expectations.
• Build and maintain data collection pipelines (web scraping, APIs, external datasets), using AI-assisted development to move fast.
• Clean, structure and validate data so it can be trusted and reused.
• Turn recurring requests into robust, documented and maintainable solutions (not one-off scripts).
• Explore no-code and low-code data workflow tools alongside traditional engineering.
• Share good practices on using AI tools for data work across the team.

Skills

Python

SQL

Data integration

AI-assisted development

Communication

Autonomy

No-code/low-code

Data analysis

Tools

Azure

AWS

GitHub Copilot

APIs

Job description

Nooven in Singapore is building its Data & AI team and seeks a Senior Data Engineer who blends business analysis with engineering. You will understand business problems, identify data sources, and build reliable data solutions for a large international organisation.

This role is not purely hands-down coding. With AI-assisted development, the focus is on understanding real business needs, trusting data, and delivering practical, scalable data workflows quickly.