Data Engineering Tech Lead: Spark/Scala, Cloud, Hybrid
Talan Group
Warszawa
Hybrid
PLN 140.000 - 180.000
Vollzeit
14 Tage+
Eine vollständige Bewerbung in einer Minute
Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.
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Benefits dieser Stelle
Career development opportunities
Training opportunities in finance and technology
Challenging multicultural environment
Zusammenfassung
A leading data technology company is seeking a Data Engineer Technical Leader for a hybrid position in Warsaw, Poland. The ideal candidate will have over 7 years of experience in Big Data systems and 3 years in Scala/Spark. You will lead technical delivery, design scalable data solutions, and mentor engineers. This role offers a full-time permanent contract with opportunities for career development in an international environment, engaging with large-scale financial IT systems.
Qualifikationen
7+ years of experience in Big Data systems and data management.
3+ years of hands-on experience with Scala/Spark.
Fluent in English (C1 level).
Strong communication skills with at least 2 years leading development teams.
Aufgaben
Lead end-to-end technical delivery of data engineering projects.
Architect and implement scalable data pipelines.
Mentor and support engineers to foster technical excellence.
Ensure compliance with regulatory requirements.
Kenntnisse
Big Data systems
Scala
Spark
Cloud environments
Data modeling
CI/CD
GitHub Actions
Docker
Kubernetes
Ambitious communication skills
Ausbildung
Bachelor’s degree in technical or mathematical studies
Tools
Airflow
Cloudera
DataBricks
Kafka
Jobbeschreibung
A leading data technology company is seeking a Data Engineer Technical Leader for a hybrid position in Warsaw, Poland. The ideal candidate will have over 7 years of experience in Big Data systems and 3 years in Scala/Spark. You will lead technical delivery, design scalable data solutions, and mentor engineers. This role offers a full-time permanent contract with opportunities for career development in an international environment, engaging with large-scale financial IT systems.
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