VP, Lakehouse & AI Data Platform Engineering

Goldman Sachs; Singapore; On-site; SGD 85,000 - 120,000; Full time

Benefits offered by this job

Healthcare and Medical Insurance

Competitive vacation policies

On-site fitness centers

Child care services

Job summary

A leading global investment bank in Singapore is seeking a Data Engineer to design, build, and support data pipelines on their modern data platform. The ideal candidate will have at least 7 years of relevant experience and a solid understanding of programming in Python or Java, along with strong SQL skills. You will contribute to scalable and reliable data solutions, enhance existing pipelines, and ensure data quality across systems. Opportunities for further growth within the organization are available.

Qualifications

• Min. 7 years of experience in a similar role.
• Strong hands‑on programming experience in Python or Java.
• Good knowledge of SQL, including troubleshooting, optimization and data analysis.

Responsibilities

• Build, enhance and support batch and streaming data pipelines.
• Develop raw, refined and curated datasets that support analytics.
• Implement controls to validate completeness and accuracy of data.

Skills

Python

Java

SQL

Apache Spark

Education

Bachelor’s or master’s degree in relevant discipline

Tools

Kafka

Snowflake

Docker

Job description

A leading global investment bank in Singapore is seeking a Data Engineer to design, build, and support data pipelines on their modern data platform. The ideal candidate will have at least 7 years of relevant experience and a solid understanding of programming in Python or Java, along with strong SQL skills. You will contribute to scalable and reliable data solutions, enhance existing pipelines, and ensure data quality across systems. Opportunities for further growth within the organization are available.