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Senior Databricks Engineer

Entrada AIRumuniaRumunia

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano24 sierpnia 2026
Wykryte przez nas
Wykryte przez nas25 sierpnia 2026
Zarobki
Zarobki26 880 - 35 280 PLN

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures, operating at the forefront of the data ecosystem. We are looking for a Senior Databricks Engineer to join our team of industry veterans and Databricks MVPs to solve complex architectural challenges for Fortune 500 clients.

Key responsibilities

  • Design and implement scalable data pipelines using Apache Spark and PySpark on the Databricks platform.
  • Analyze and optimize complex Spark jobs for performance and cost efficiency, including partitioning and Photon engine utilization.
  • Migrate legacy data warehouses to the modern Lakehouse architecture using Delta Lake.
  • Enforce high code quality standards through rigorous code reviews and the implementation of CI/CD processes using Databricks Asset Bundles.
  • Act as a technical advisor for clients and provide mentorship to team members.

Requirements

  • Over 5 years of professional experience in Data Engineering with a strong focus on distributed systems.
  • Minimum 3 years of hands-on experience with the Databricks platform and deep understanding of Delta Lake internals.
  • Production experience with cloud environments such as Azure or AWS.
  • Advanced proficiency in Python and SQL, along with experience in Unity Catalog implementation.
  • Fluent English skills for direct collaboration with international clients.

What we offer

  • Stable B2B employment contract with our Polish entity.
  • Full flexibility to work 100% remotely.
  • High-end Apple hardware provided for your daily work.
  • Comprehensive support for professional growth, including Databricks certification cost coverage and paths to becoming a Solution Architect Champion.
  • Opportunities to build your personal brand by presenting at industry conferences and collaborating with Databricks MVPs.

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