Data Engineer - Build Trusted Data Pipelines (Singapore)

Norden; Singapore; On-site; SGD 65,000 - 98,000; Full time

Benefits offered by this job

Restaurant of data team? or none

Job summary

NORDEN is hiring a Data Engineer in Singapore to build data pipelines and datasets, turning raw data into trusted information for the business. You will work with PySpark, SQL, Azure DevOps and Microsoft Fabric across locations to deliver value and reliability.

The role emphasizes collaboration with digital and commercial teams, continuous data improvement, and a strong curiosity for making data more usable and trustworthy.

Qualifications

• 1–3 years of experience in data engineering or a similar role.
• A degree within data, IT, engineering or another analytical field.
• Eligibility to work in Singapore.
• Practical experience with Lakehouse architecture, for example in Microsoft Fabric or Azure Databricks.
• Experience with structuring, transforming and sharing data.
• Contributed to decisions about how data should be structured or used.
• Good English communication skills.

Responsibilities

• Build and maintain scalable data pipelines.
• Bring internal and external data together and turn it into trusted datasets.
• Transform raw data into useful features and insights.
• Improve how we capture, validate and enrich data.
• Build reliable solutions for today with future usability in mind.
• Collaborate with digital and commercial teams to translate needs into technical solutions.

Skills

1–3 years data engineering

Good English communication

Curiosity/problem solving

Education

Bachelor's degree in data/IT/engineering or analytical field

Tools

Azure Databricks

Microsoft Fabric

SQL

PySpark

Lakehouse architecture

Job description

NORDEN is hiring a Data Engineer in Singapore to build data pipelines and datasets, turning raw data into trusted information for the business. You will work with PySpark, SQL, Azure DevOps and Microsoft Fabric across locations to deliver value and reliability.

The role emphasizes collaboration with digital and commercial teams, continuous data improvement, and a strong curiosity for making data more usable and trustworthy.