Senior Data Platform Engineer — Onsite in Singapore

ZENITH INFOTECH (S) PTE LTD.; Singapore; On-site; SGD 78,000 - 100,000; Full time

Job summary

Zenith Infotech (S) Pte Ltd. invites an experienced data engineer to lead end-to-end data warehouse, data lake, or data store initiatives in Singapore.

You will translate business analytics needs into scalable, secure data solutions from architecture through deployment. The role requires at least 5 years in data engineering or warehousing, strong ETL and data integration skills, and excellent stakeholder communication to ensure reliable data delivery for analytics and reporting.

Qualifications

• Bachelor's degree in IT, CS, or related field.
• At least 5 years of data engineering or data warehousing experience.
• Proven experience delivering end-to-end data warehouse, data lake, or data store solutions.
• Strong knowledge of data engineering concepts, architecture, and best practices.
• Hands-on ETL, data pipelines, and data integration experience.
• Excellent planning, communication, and stakeholder management.

Responsibilities

• Lead design and implementation of the Domain Group Data Store as the central data source.
• Design architectures for data warehouse, data lake, or data store to support analytics requirements.
• Develop and maintain data pipelines and ETL processes consolidating data from platforms and internal sources.
• Lead data replication and integration to ensure data availability, quality, and reliability.
• Collaborate with project teams to enable data sharing and enrichment for analytics.
• Engage stakeholders to translate data requirements into effective data collection, storage, and integration solutions.

Skills

Data engineering

Data warehousing

Data lake

ETL

Data integration

Data architecture

Cybersecurity

Stakeholder management

Independent work

Education

Bachelor's Degree

Job description

Zenith Infotech (S) Pte Ltd. invites an experienced data engineer to lead end-to-end data warehouse, data lake, or data store initiatives in Singapore.

You will translate business analytics needs into scalable, secure data solutions from architecture through deployment. The role requires at least 5 years in data engineering or warehousing, strong ETL and data integration skills, and excellent stakeholder communication to ensure reliable data delivery for analytics and reporting.