Data Engineer (6 months contract)

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

Founded in Switzerland in 1968, Zühlke is a team of colleagues across Europe and Asia, empowering ideas and creating new business models by developing services and products based on new technologies. While we work with the latest technologies on complex business challenges globally, our priority is to nurture what sets us apart: our people.

Working with us, you'll be part of agile, collaborative teams with the opportunity to deliver transformational impact through technology, engineering excellence, and meaningful client outcomes.

The role

Planning and Design

• Work closely with business analysts, stakeholders, users, and technology teams to understand business requirements, user journeys, functional specifications, and data requirements.
• Design, build, test, and maintain scalable data pipelines, data models, and data integration solutions that support business and operational needs.
• Manage system enhancements, bug fixes, production issues, and change requests, ensuring changes are properly assessed, tested, documented, and aligned with business needs.

Development

• Translate functional and data requirements into robust technical designs, ensuring solutions are reliable, maintainable, and aligned with the defined user journeys.
• Source, ingest, transform, and curate data from multiple internal and external systems, ensuring data is fit for downstream consumption and analytics.
• Work closely with business analysts to validate data logic, business rules, data mappings, and transformation requirements.
• Conduct data profiling, reconciliation, testing, and root-cause analysis to ensure data quality, consistency, completeness, and accuracy.

Documentation and governance

• Develop and maintain technical documentation, including data pipeline designs, data flow diagrams, data mappings, data models, interface specifications, and operational runbooks.
• Support data governance and data management initiatives by implementing required controls, standards, and processes within data solutions.
• Ensure data engineering solutions comply with internal technology, security, risk, and data governance standards.

BAU activities

• Perform BAU monitoring, incident investigation, root-cause analysis, remediation, and production support for data platforms and pipelines.
• Monitor pipeline, platform, and system performance, and proactively identify opportunities for optimization, automation, and resilience improvements.

What's important to us

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 5 years of hands-on experience in data and application support.
• Strong experience and knowledge in Python and SQL.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.