VP Data Platform Engineer: Lakehouse & AI Pipelines

Goldman Sachs; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Goldman Sachs is seeking a Data Engineer for their Lakehouse and AI Data Platform. In this role, you will design and support data pipelines, curate datasets, and ensure data quality to enable analytics and AI use cases. Applicants should have a relevant degree, solid programming experience in Python or Java, and familiarity with SQL. This is a full-time position in the Greater London area, offering a dynamic work environment focused on delivering robust data solutions.

Qualifications

• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting and optimization.
• Ability to learn new tools and delivery workflows quickly.

Responsibilities

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

Skills

Python programming

Java programming

SQL

Data processing frameworks (Apache Spark)

Data quality and reconciliation

Education

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

Tools

Apache Spark

Snowflake

Kafka

CI/CD tooling

Hadoop ecosystem technologies

Job description

Goldman Sachs is seeking a Data Engineer for their Lakehouse and AI Data Platform. In this role, you will design and support data pipelines, curate datasets, and ensure data quality to enable analytics and AI use cases. Applicants should have a relevant degree, solid programming experience in Python or Java, and familiarity with SQL. This is a full-time position in the Greater London area, offering a dynamic work environment focused on delivering robust data solutions.