📍 Location: Gdańsk / Gdynia / Warsaw (hybrid)
🚀 Start: ASAP
💶 Rate: 35–45 EUR/h
About the role
We are looking for a Senior Data Engineer to work on a long-term project for a leading client in the banking industry.
In this role, you will implement complex data requirements and build scalable solutions that support the client’s Financial Crime Prevention processes.
Responsibilities
-Build distributed Big Data processing pipelines handling large volumes of structured and unstructured data in near real-time
-Develop streaming applications connecting multiple internal and external data sources
-Transform and enrich data with Apache Spark for analytics, visualization, and search
-Deliver clean, high-quality datasets for downstream systems
-Work closely with DevOps, QA, and Product teams in a Continuous Delivery environment
Requirements
-Experience with Big Data / ETL / SQL / Data Testing (Senior level)
-Expert-level Scala
-Expert-level Spark and Spark SQL
-Practical experience with distributed, large-scale data systems
About Scalac:
For over 10 years, Scalac has been delivering high-quality software, successfully aiding FinTechs, HealthTechs, EdTechs, AdTechs, and startups in their efforts to scale. What’s our secret? There is none - just choosing the best technologies and connecting you with the top specialists to implement them. All done by working remotely!
With over 50 experts on board, from 13 different countries - in Scala, Java, Spark, Rust, Akka, React, Angular, Kafka, blockchain, and more - there is no project we couldn’t enhance, no process we’re not able to support, and no software we couldn’t deliver from start to finish.
Sounds like a fit?
Apply now and join our team!