Senior Data Platform Engineer | ETL, Lakehouse & BI

ti&m pte. ltd.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

ti&m pte. ltd. in Singapore is seeking an experienced data professional to design, build and improve scalable data platforms and analytics solutions.

The role combines hands-on data engineering and architecture with business-facing collaboration. You will design data warehouse and lakehouse architectures, integrate data from cloud platforms and APIs, and deliver dashboards for senior stakeholders while ensuring data quality and privacy.

Qualifications

• 8+ years in data engineering, data architecture or related data role.
• Strong SQL, data modelling, warehousing and ETL/ELT development.
• Experience with cloud data platforms (AWS or Google Cloud) and BI tools.
• Familiarity with Python, APIs and streaming data is an advantage.
• Knowledge of data quality, governance and privacy requirements.
• Strong communication with technical and business stakeholders.
• Degree in data, CS, IS or equivalent.

Responsibilities

• Design and maintain data warehouse and lakehouse architectures.
• Integrate data from cloud platforms, databases, APIs and enterprise systems.
• Build and maintain analytics and BI dashboards for stakeholders.
• Establish data quality, governance, privacy and compliance practices.
• Collaborate with business, analytics, data science, technology and risk teams.
• Improve processes through automation and mentor colleagues.

Skills

SQL

Data modelling

ETL/ELT development

Cloud platforms

Data governance

Communication

Education

Data/CS/IS degree

Tools

Python

APIs

ETL tools

Job description

ti&m pte. ltd. in Singapore is seeking an experienced data professional to design, build and improve scalable data platforms and analytics solutions.

The role combines hands-on data engineering and architecture with business-facing collaboration. You will design data warehouse and lakehouse architectures, integrate data from cloud platforms and APIs, and deliver dashboards for senior stakeholders while ensuring data quality and privacy.