Senior Data Engineer — Pipelines, Data Quality & Impact

Zühlke Group; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Zühlke Group in Singapore is seeking a data engineer to design, build and maintain scalable data pipelines and data models, translating requirements into robust technical solutions.

You will work with analysts and technology teams, perform BAU monitoring, data quality checks, and contribute to governance and documentation. The role requires 5+ years in data and application support and strong Python and SQL skills.

Qualifications

• Degree in Computer Science/Information Technology or related field.
• At least 5 years of hands-on data and application support experience.
• Strong experience with Python and SQL.
• Excellent written and verbal communication skills.
• Agile mindset with the ability to adapt quickly.

Responsibilities

• Design, build, test, and maintain scalable data pipelines, data models, and data integration solutions.
• Translate functional and data requirements into robust technical designs aligned with user journeys.
• Source, ingest, transform, and curate data from multiple internal and external systems.
• Conduct data profiling, reconciliation, testing, and root-cause analysis to ensure data quality and accuracy.
• Develop and maintain technical documentation, data mappings, and runbooks.

Skills

Python

SQL

Data pipelines

Data modeling

Communication skills

Agile

Education

Bachelor's degree in Computer Science/Information Technology or related fields

Job description

Zühlke Group in Singapore is seeking a data engineer to design, build and maintain scalable data pipelines and data models, translating requirements into robust technical solutions.

You will work with analysts and technology teams, perform BAU monitoring, data quality checks, and contribute to governance and documentation. The role requires 5+ years in data and application support and strong Python and SQL skills.