The client is a Singapore-based data consultancy seeking a hands-on Senior Data Engineer to support the delivery of complex data-platform projects.
This is an initial six-month contract. An extension may be considered depending on project requirements and performance, but is not guaranteed.
Key Responsibilities
- Design, build and operate scalable end-to-end data pipelines.
- Develop reliable data-platform components across on-premise or hybrid environments.
- Establish and maintain data governance, metadata, cataloguing and lineage capabilities.
- Monitor pipeline performance and ensure agreed reliability and service-level requirements are met.
- Troubleshoot data-quality, integration and platform-performance issues.
- Produce appropriate technical documentation and operating procedures.
- Work directly with technical stakeholders and client teams to translate project requirements into practical solutions.
- Contribute as a senior individual contributor without requiring a people-management remit.
Requirements
- Minimum 6 years of hands-on experience in data engineering, platform engineering or a closely related role.
- Proven experience building and operating production-grade data pipelines end to end.
- Strong exposure to on-premise or hybrid infrastructure; candidates whose experience is primarily limited to managed cloud services may be less suited to this requirement.
- Practical experience with Databricks, Snowflake or comparable enterprise data platforms.
- Experience in data governance, metadata management, catalogues or data lineage.
- Ability to operate independently in a senior technical capacity and communicate effectively with client stakeholders.
- Willingness to accept an initial six-month contract and attend client locations when required.
Preferred Experience
- Data-platform delivery within regulated environments such as banking, fintech, healthcare or data centres.
- Experience supporting high-volume or business-critical data infrastructure.
- Exposure to platform reliability, security controls and service-level management.
This position focuses on data-platform engineering and infrastructure. It is not primarily a business intelligence, dashboarding, visualisation or data-analyst role.