Lakehouse & AI Data Platform Engineer

Candidate Experience Site - Lateral; Województwo mazowieckie; On-site; PLN 320,000 - 520,000; Full time

Job summary

Goldman Sachs is seeking a Data Engineer for the Lakehouse and AI Data Platform in Warsaw. You will design, build and support scalable data pipelines and curated datasets to underpin analytics and AI use cases.

The role requires strong coding (Python/Java), SQL mastery and experience with modern data technologies like Spark, Snowflake and Kafka. You will collaborate with engineers and data consumers to deliver reliable production data assets.

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, 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 data pipelines on the Lakehouse and AI platform.
• Refactor or modernise data flows to improve reliability and performance.
• Ensure production-ready pipelines with strong testing and monitoring.

Skills

Python

Java

SQL

CI/CD

Version control

Testing

Education

Bachelor’s or Master’s degree

Tools

Apache Spark

Kafka

Snowflake

Databricks

JSON

Avro

Parquet

Job description

Goldman Sachs is seeking a Data Engineer for the Lakehouse and AI Data Platform in Warsaw. You will design, build and support scalable data pipelines and curated datasets to underpin analytics and AI use cases.

The role requires strong coding (Python/Java), SQL mastery and experience with modern data technologies like Spark, Snowflake and Kafka. You will collaborate with engineers and data consumers to deliver reliable production data assets.