Hybrid Data Engineer: Scala/Java & Spark in Banking Backend

Sii Poland; Warszawa; Hybrid; PLN 190,000 - 270,000; Full time

Benefits offered by this job

Great Place to Work

Solid financial situation

Contracts with the biggest brands

Centre of internal trainings

Many experts you can learn from

Open and accessible management team

Profit sharing

Passion Sponsorship program

Regular integration events and trips

Comfortable and well-equipped offices

MySii app

Medical care

Job summary

Sii Poland in Warsaw is seeking a skilled Data Engineer to join our team. You will modernize the backend data processing platform for an investment bank, building scalable pipelines with Scala and Spark in a hybrid work model with 2-3 days in the office each week.

You will work on ETL/ELT processes, Java-based components, and performance tuning for Spark workloads while collaborating with cross-functional teams to deliver robust data solutions.

Qualifications

• 4+ years of data engineering experience on large-scale processing.
• Strong Scala and Spark expertise.
• Backend development or data processing experience in Java.
• Experience designing ETL/ELT pipelines and data pipelines.
• Proficient in SQL and relational databases.
• Experience with distributed Big Data environments.
• Fluent in Polish and English; resident in Poland.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Scala and Spark.
• Implement ETL/ELT processes for large data volumes.
• Develop and maintain data processing components using Java.
• Optimize Spark applications and data workflows for performance.
• Integrate data from multiple sources for banking systems.
• Collaborate with Data Engineers, Developers, Analysts and business teams.
• Monitor code quality and CI processes.

Skills

Scala

Apache Spark

Java

ETL/ELT design

SQL

Distributed systems

Polish language

English language

Tools

Apache Spark tooling

Job description

Sii Poland in Warsaw is seeking a skilled Data Engineer to join our team. You will modernize the backend data processing platform for an investment bank, building scalable pipelines with Scala and Spark in a hybrid work model with 2-3 days in the office each week.

You will work on ETL/ELT processes, Java-based components, and performance tuning for Spark workloads while collaborating with cross-functional teams to deliver robust data solutions.