Lakehouse & AI Data Platform Engineer

Goldman Sachs; Stockholms kommun; On-site; SEK 558,000 - 781,200; Full time

Job summary

Goldman Sachs is seeking a Data Engineer to join their team in Stockholm. In this role, you'll design and build data pipelines and datasets to support analytics and AI initiatives. You will be responsible for ensuring data reliability and scalability across platforms, focusing on production-ready solutions.

Candidates should possess a strong programming background in Python or Java, and have hands-on experience with SQL. Familiarity with data modeling and engineering practices is essential.

Qualifications

• Bachelor's or master's degree in a relevant discipline or equivalent practical experience.
• Strong programming experience in Python or Java.
• Good working knowledge of SQL including troubleshooting and optimization.

Responsibilities

• Design, build, test, and support data pipelines on the firm’s modern data platform.
• Build and support batch and streaming data pipelines.
• Develop raw, refined, and curated datasets for analytics.

Skills

Python

Java

SQL

Apache Spark

Data Modelling

Data Quality

Education

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

Tools

Snowflake

Apache Iceberg

Databricks

Kafka

Job description

Goldman Sachs is seeking a Data Engineer to join their team in Stockholm. In this role, you'll design and build data pipelines and datasets to support analytics and AI initiatives. You will be responsible for ensuring data reliability and scalability across platforms, focusing on production-ready solutions.

Candidates should possess a strong programming background in Python or Java, and have hands-on experience with SQL. Familiarity with data modeling and engineering practices is essential.