Senior Data Engineer (AI-enabled)

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 is building its Data & AI team in Singapore.

We are looking for a Senior Data Engineer who combines business analysis and engineering, someone who can understand a business problem, identify the right data sources and build reliable solutions. You will join a small team supporting a large international organisation, where business users constantly need new external and internal data to make decisions.

This is not a purely heads-down coding role.

With AI-assisted development making implementation faster, what matters increasingly is understanding what the business really needs, knowing which data to trust and delivering useful solutions quickly.

What you will do

• Work directly with business users to understand their 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

What we are looking for

• 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
• Daily use of AI coding tools (e.g. GitHub Copilot, Cursor, Claude, ChatGPT) and a pragmatic approach to them
• Experience with cloud data environments, ideally Azure (AWS is a plus)
• Excellent communication skills: you are comfortable challenging and advising business stakeholders
• Curious, autonomous and quick to understand a new business domain
• Based in Singapore. Singapore Citizens and PRs preferred; candidates holding a valid Singapore work pass will also be considered.

Nice to have

Experience supporting trading, financial markets, or other data-intensive business environments.