Data Platform Engineer, Lakehouse & AI Pipelines

Goldman Sachs Bank AG; Greater London; Hybrid; GBP 85,000 - 110,000; Full time

Benefits offered by this job

Healthcare coverage

Retirement benefits

Wellbeing programs

Job summary

Goldman Sachs is hiring a Data Engineer to design, build and operate data pipelines on a modern Lakehouse and AI data platform in London. You will contribute across ingestion, transformation, modelling and data quality to deliver reliable data products for analytics and AI use cases.

The role suits engineers who code in Python or Java, work with SQL, and collaborate with cross-functional teams to deliver robust data solutions. Candidates with Spark and Snowflake experience will thrive.

Qualifications

• Bachelor's or master's degree in a relevant field or equivalent practical experience.
• Strong programming in Python or Java with data engineering expertise.
• Good knowledge of SQL, troubleshooting and data analysis.
• Familiarity with CI/CD practices and version control.

Responsibilities

• Build, test and support data pipelines on a Lakehouse and AI data platform.
• Refactor data flows to improve reliability and performance.
• Create reusable tooling to improve delivery and operational support.
• Ensure pipelines are production-ready and well tested.

Skills

Python

Java

SQL

Apache Spark

CI/CD

Education

Bachelor's or Master's degree

Tools

Snowflake

Databricks

Apache Iceberg

Kafka

Parquet

JSON

Avro

Hadoop

Job description

Goldman Sachs is hiring a Data Engineer to design, build and operate data pipelines on a modern Lakehouse and AI data platform in London. You will contribute across ingestion, transformation, modelling and data quality to deliver reliable data products for analytics and AI use cases.

The role suits engineers who code in Python or Java, work with SQL, and collaborate with cross-functional teams to deliver robust data solutions. Candidates with Spark and Snowflake experience will thrive.