AI Data Platform Engineer — Lakehouse & Pipelines

United States Digital Space LLC; Singapore; On-site; SGD 100,000 - 170,000; Full time

Job summary

Goldman Sachs in Singapore is seeking a Data Engineer to design, build and support data pipelines and curated datasets on a modern 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 collaboration with engineers and data consumers, requiring strong coding skills in Python/Java, SQL proficiency and experience with distributed data processing.

Qualifications

• Bachelor’s or master’s degree in a relevant discipline or equivalent practical experience.
• Strong hands-on programming in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimisation and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Responsibilities

• Build, test and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Develop raw, refined and curated datasets to support analytics, reporting and AI use cases.
• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Work closely with engineers, platform teams and data consumers to deliver outcomes on time and with quality.

Skills

Python

Java

SQL

CI/CD practices

Distributed data processing

Education

Bachelor’s or Master’s degree in a relevant discipline

Tools

Apache Spark

JSON

Avro

Parquet

Git

Job description

Goldman Sachs in Singapore is seeking a Data Engineer to design, build and support data pipelines and curated datasets on a modern 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 collaboration with engineers and data consumers, requiring strong coding skills in Python/Java, SQL proficiency and experience with distributed data processing.