Lakehouse & AI Data Platform Engineer

Goldman Sachs Bank AG; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

Goldman Sachs Bank AG is seeking a Data Engineer to design, build, test and support data pipelines on a modern Lakehouse and AI data platform. You will work across ingestion, transformation, modelling, optimisation and data quality to deliver reliable data products for analytics and AI use cases.

The role emphasizes production-grade engineering, scalable data platforms, and collaboration with users and platform teams to ensure delivery within quality expectations.

Qualifications

• Strong hands-on programming in Python or Java.
• Good working knowledge of SQL, including troubleshooting and data analysis.
• Familiarity with CI/CD practices and software engineering fundamentals.

Responsibilities

• Build, test and support data pipelines on the Lakehouse and AI data platform.
• Refactor data flows to improve reliability and performance.
• Develop raw, refined and curated datasets to support analytics and AI use cases.
• Work with engineers and data consumers to deliver outcomes on time and quality.

Skills

Python

Java

SQL

CI/CD

Apache Spark

JSON

Avro

Parquet

Education

Bachelor’s or Master’s in a relevant discipline

Tools

Git

Job description

Goldman Sachs Bank AG is seeking a Data Engineer to design, build, test and support data pipelines on a modern Lakehouse and AI data platform. You will work across ingestion, transformation, modelling, optimisation and data quality to deliver reliable data products for analytics and AI use cases.

The role emphasizes production-grade engineering, scalable data platforms, and collaboration with users and platform teams to ensure delivery within quality expectations.