Data Platform Engineer - Lakehouse & AI Pipelines

Goldman Sachs; Województwo mazowieckie; On-site; PLN 120,000 - 180,000; Full time

Job summary

Goldman Sachs Warsaw is seeking a Data Engineer for the Lakehouse and AI Data Platform. You will design, build, test and support data pipelines and curated datasets across ingestion, transformation, and modelling to enable analytics and AI use cases.

You will work with SQL, Python/Java, and Spark in a distributed environment, delivering reliable data products and engaging with stakeholders on delivery approaches and quality standards.

Qualifications

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience.
• Strong hands-on programming experience 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, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Ensure data pipelines are production-ready, well tested and operationally supportable.
• Work closely with engineers, platform teams and data consumers to deliver outcomes.

Skills

Python

Java

SQL

CI/CD

Version control

Distributed data processing

Apache Spark

Kafka

Big data concepts

Education

Bachelor’s or Master’s degree in relevant field

Tools

Snowflake

Apache Iceberg

Databricks

Hadoop

Sybase IQ

JSON

Avro

Parquet

Kafka

CI/CD tooling

Kubernetes

Job description

Goldman Sachs Warsaw is seeking a Data Engineer for the Lakehouse and AI Data Platform. You will design, build, test and support data pipelines and curated datasets across ingestion, transformation, and modelling to enable analytics and AI use cases.

You will work with SQL, Python/Java, and Spark in a distributed environment, delivering reliable data products and engaging with stakeholders on delivery approaches and quality standards.