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Data Engineer (Spark)

AddeptoPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano21 września 2026
Wykryte przez nas
Wykryte przez nas21 września 2026
Zarobki
Zarobki15 120 - 21 000 PLN

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for global enterprises and pioneering startups. We are looking for a talented Data Engineer to join our expert team and work on challenging, high-impact projects across various industries.

Key responsibilities

  • Develop and maintain high-performance data processing platforms, ensuring scalability and reliability.
  • Design and implement data pipelines for large volumes of data in both streaming and batch modes.
  • Optimize data workflows using technologies such as Spark, Cloudera, and Airflow.
  • Collaborate with cross-functional teams to integrate diverse data sources and ensure high data accuracy.
  • Leverage cloud services to manage infrastructure and scale processing workloads effectively.

Requirements

  • At least 3 years of commercial experience in implementing and maintaining Big Data systems.
  • Strong programming skills in Python, Java, or Scala with a focus on clean, object-oriented code.
  • Hands-on experience with Big Data technologies like Spark, Airflow, Kafka, Docker, and Iceberg.
  • Excellent understanding of dimensional data modeling techniques.
  • Proven consulting experience with strong communication skills and a C1 level of English proficiency.
  • Bachelor’s degree in a technical or mathematical field.

What we offer

  • Work in a supportive team of passionate AI and Big Data enthusiasts on international projects.
  • Accelerate your professional growth through structured career paths, knowledge-sharing, and sponsored training.
  • Access to comprehensive medical and sports packages, as well as well-being support services.
  • Full work equipment provided to ensure optimal productivity.
  • Opportunities to build your personal brand by speaking at conferences and contributing to our blog.

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