Big Data Engineer with Spark/Scala (f/m/x)
⚲ Warszawa
25 200 - 29 400 PLN (B2B)
Wymagania
- Apache Spark
- SQL
- Scala
- Java (nice to have)
Opis stanowiska
O projekcie:
Join a team building a modern data platform that supports key business and analytical processes in an international environment. We are looking for experienced data engineers who want to work with Big Data technologies, develop scalable solutions, and have a real impact on the architecture and development of the platform.
Wymagania:
- Minimum 5 years of experience in Big Data Engineering- Practical knowledge of Spark, SQL, and Java or Scala- Experience with additional technologies: Python, Airflow, Git, CI/CD, APIs, microservices, DevOps- Analytical thinking and problem-solving skills- Independence, proactive attitude, and good organization of work- Ability to collaborate in an international environment- Very good command of Polish and English- Willingness to work in a hybrid model (2–3 days per week in the office)- Residence in PolandNice-to-have requirements- Banking sector experience
Codzienne zadania:
- 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
Join a team building a modern data platform that supports key business and analytical processes in an international environment. We are looking for experienced data engineers who want to work with Big Data technologies, develop scalable solutions, and have a real impact on the architecture and development of the platform.
Wymagania:
- Minimum 5 years of experience in Big Data Engineering- Practical knowledge of Spark, SQL, and Java or Scala- Experience with additional technologies: Python, Airflow, Git, CI/CD, APIs, microservices, DevOps- Analytical thinking and problem-solving skills- Independence, proactive attitude, and good organization of work- Ability to collaborate in an international environment- Very good command of Polish and English- Willingness to work in a hybrid model (2–3 days per week in the office)- Residence in PolandNice-to-have requirements- Banking sector experience
Codzienne zadania:
- 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
🔍 Dekoder Ogłoszenia
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have a real impact on the architecture and development of the platform
Twoje pomysły mogą zostać wdrożone, ale ostateczne decyzje należą do starszych inżynierów lub architektów.
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Independence, proactive attitude, and good organization of work
Oczekuje się, że będziesz samodzielnie rozwiązywać problemy i zarządzać swoim czasem bez ciągłego nadzoru.
🔴
Develop and maintain Spark/Scala-based jobs for data ingestion and transformation
Może oznaczać zarówno tworzenie nowych rozwiązań, jak i głównie utrzymywanie i poprawianie istniejącego, potencjalnie starszego kodu.
🔴
Work collaboratively within an Agile (Scrum) envir
Przygotuj się na częste spotkania, planowanie sprintów i potencjalnie presję na szybkie dostarczanie funkcjonalności.
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Willingness to work in a hybrid model (2–3 days per week in the office)
Firma może mieć elastyczne podejście, ale oczekuje regularnej obecności w biurze, co może wpływać na elastyczność pracy zdalnej.