Data Engineer, Lakehouse & AI Platform

Goldman Sachs; Warszawa; On-site; PLN 150,000 - 200,000; Full time

Job summary

Goldman Sachs is looking for a Data Engineer to design and build data pipelines on its modern Lakehouse and AI data platform. This role involves ensuring the reliability and scalability of data assets while applying sound data modelling principles.

The successful candidate will have strong programming skills in Python or Java, a good understanding of SQL, and experience with distributed data processing frameworks like Apache Spark. The position is located in Warsaw, Poland, offering a dynamic environment to grow within the firm.

Qualifications

• Strong programming experience in Python or Java.
• Good working knowledge of SQL for troubleshooting and optimisation.
• Ability to learn new tools and workflows quickly.

Responsibilities

• Design, build and support data pipelines on the Lakehouse and AI data platform.
• Ensure data pipelines are reliable, scalable and well tested.
• Implement controls to validate data completeness and accuracy.

Skills

Programming in Python

SQL knowledge

Data engineering expertise

Apache Spark

CI/CD practices

Education

Bachelor's or master's degree in relevant discipline

Tools

Apache Spark

Snowflake

Kafka

Databricks

Job description

Goldman Sachs is looking for a Data Engineer to design and build data pipelines on its modern Lakehouse and AI data platform. This role involves ensuring the reliability and scalability of data assets while applying sound data modelling principles.

The successful candidate will have strong programming skills in Python or Java, a good understanding of SQL, and experience with distributed data processing frameworks like Apache Spark. The position is located in Warsaw, Poland, offering a dynamic environment to grow within the firm.