Big Data Engineer with Spark and Scala

We are looking for an experienced Big Data Engineer to join our data engineering team responsible for creating and evolving a next-generation data platform. This platform plays a key role in supporting a variety of business functions and engaging with multiple stakeholders across the organization.

Your tasks

Design, develop, and maintain scalable data pipelines and processing systems

Build efficient solutions for collecting, transforming, and integrating data from diverse sources

Translate business and analytical needs into technical requirements and data models

Optimize data workflows to ensure high performance, reliability, and resilience

Develop and maintain Spark / Scala-based jobs for data ingestion and transformation

Participate in code reviews and contribute to continuous improvement initiatives

Work collaboratively within an Agile (Scrum) environment, delivering business value in short iterations

Follow best engineering practices such as TDD, BDD, clean coding, and DevOps principles

Create and maintain technical documentation and test plans

Requirements

Min. 5 years of professional experience in Big Data engineering, preferably in the banking or financial services sector

Proficiency in Spark, Scala, and SQL

Working knowledge of additional tools and technologies such as Python, Java, Airflow, DevOps, CI / CD pipelines, APIs, microservices, and Git

Excellent analytical and troubleshooting skills

Strong communication and teamwork abilities

Proactive, self-driven approach to work

Ability to collaborate effectively with international teams across different time zones

Solid organizational and prioritization skills

Fluency in English and Polish, both spoken and written

Open to a hybrid work model (2-3 days per week on-site)

Residing in Poland required