Join our team that excels in manipulating and processing significant amounts of data in the controlling department. We acquire, integrate, and transform data to create robust models, making it accessible and publishable for others.

Discover Raiffeisen Tech

✨Raiffeisen Tech Romania, a subsidiary of Raiffeisen Tech GmbH in Vienna, brings together experienced tech talents to enable Raiffeisen Bank International (RBI) Group to offer innovative technology solutions. The company fosters a collaborative environment for building international projects using advanced technologies, embracing a flexible approach and valuing curiosity and courage to innovate.

Type of collaboration: labor contract, full-time

Your mission 🎯

• Develop, optimize, and operate data processing pipelines using Python and Apache Spark
• Collaboration with the teammates on the architectural aspects of a solution design
• Implementation of software development best practices and development standards into a development process within the team
• Support and knowledge sharing with teammates regarding the software development

Required superpowers 🦸‍♂️

• Professional experience in developing and operating software solutions in Python (or any other general purpose programming language with the readiness to switch and intensively learn Python)
• Hands-on experience with Apache Spark (PySpark, Dataframe API)
• Minimum of 2 years practical experience of development on Databricks
• SQL knowledge at the level of development and optimization of complex analytical queries
• Knowledge of modern open data frameworks (Delta, Iceberg, etc)
• Knowledge of basic AWS products from data engineering prospective: EC2, S3, Athena
• Practical experience with setting up and configuration of CI/CD pipelines, e.g. Github actions or similar and applicable build/package managers
• Proficiency in English is mandatory

Nice to have

• Experience of participation in the role of software developer on data engineering projects: streaming data processing, batch processing & ETL/ELT, pipelines orchestration, Hadoop, NoSQL, DWH, OLAP, etc.
• Understanding of the most common products in the banking area