Data Platform Engineer (Spark/Scala) – Hybrid in Warsaw

Societe Generale; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work

Health package with dental care

Meal allowance

Holiday fund

Sports card

Insurance

Job summary

Societe Generale seeks a Big Data Engineer (Spark/Scala) in Warsaw, collaborating with the Paris team to build a financing datahub. You will design, implement, and maintain data solutions across multiple sources, ensuring data quality and scalable processing.

The role involves working in a fast-moving data environment, contributing to agile teams, and applying best development practices (BDD, TDD, DevOps) while delivering production-ready IT solutions.

Qualifications

• 3-5 years of professional experience in big data engineering.
• Fluency in English; Polish and French are advantageous.

Responsibilities

• Design and develop solutions for collecting, transforming, and processing large datasets.
• Industrialize data processing for reliability and efficiency.
• Develop data collection, processing jobs, and data mapping using Spark/Scala.
• Perform code reviews and collaborate for continuous improvement.
• Contribute to agile feature teams and Scrum cycles.

Skills

Spark

Scala

SQL

Python

Java

DevOps

Airflow

CI/CD

APIs

GIT

Big Data

Microservices

English

Tools

Spark/Scala tooling

Job description

Societe Generale seeks a Big Data Engineer (Spark/Scala) in Warsaw, collaborating with the Paris team to build a financing datahub. You will design, implement, and maintain data solutions across multiple sources, ensuring data quality and scalable processing.

The role involves working in a fast-moving data environment, contributing to agile teams, and applying best development practices (BDD, TDD, DevOps) while delivering production-ready IT solutions.