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Lead Data Engineer (Spark)

AddeptoPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano23 września 2026
Wykryte przez nas
Wykryte przez nas23 września 2026
Zarobki
Zarobki21 000 - 31 920 PLN

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for global enterprises and pioneering startups. As a Lead Data Engineer, you will join a team of experts to design and develop innovative data-driven platforms, shifting your focus toward strategic system architecture, business consultation, and creative problem-solving.

Key responsibilities

  • Design and develop scalable data management architectures and infrastructure for streaming and batch processing using Big Data technologies like Apache Spark and Iceberg.
  • Implement data governance processes and best practices to ensure optimal performance and quality.
  • Collaborate with Data Science teams on machine learning projects and predictive model building.
  • Develop and organize data transformations using DBT and Apache Airflow.
  • Translate complex business requirements into robust technical solutions.

Requirements

  • 5+ years of commercial experience in developing or maintaining Big Data systems.
  • Strong programming skills in Python, Java, or Scala with a focus on clean code and OOP.
  • Proven expertise in cloud environments, preferably AWS.
  • Familiarity with Big Data tools such as Spark, Airflow, Docker, Kubernetes, and Trino.
  • Excellent communication skills with experience in direct client interaction and fluent English (C1).

What we offer

  • Work in a supportive team of AI and Big Data enthusiasts on international projects.
  • Opportunities for professional growth through career paths, sponsored training, and certifications.
  • Flexible cooperation models with 20 fully paid days off.
  • Access to medical and sports packages, well-being support, and full work equipment.
  • Support for personal branding through conference speaking and content creation.

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