Senior Data Engineer (Databricks)

140 - 170 PLN/ godz.B2B (netto)
SeniorFull-time·B2B
#346962·Dodano dziś·0
Źródło: Experis
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Tech Stack / Keywords

DatabricksCloudPySparkPythonSparkSQLTestingREST

Firma i stanowisko

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.


Wymagania

  • Proven Data Engineering experience, including participation in at least two Databricks projects as a Data Engineer
  • Strong, hands‑on knowledge of PySpark, Python, and Spark SQL
  • Practical experience or strong knowledge of Databricks components and features: Databricks Asset Bundles, Structured Streaming, Auto Loader, Databricks Jobs with tasks, Notebooks, REST APIs, Delta Tables
  • Experience working with Azure Data Lake / Blob Storage (Azure)
  • Strong understanding of distributed data processing and performance optimization
  • Ability to work independently in a remote setup and take ownership of delivered solutions
  • Excellent communication skills and experience working directly with client and business stakeholders
  • Fluency in English (spoken and written)

Nice to have:

  • Previous experience in consulting or client‑facing roles
  • Exposure to enterprise‑scale or regulated environments
  • Experience designing data platforms end‑to‑end

Obowiązki

  • Design, develop, and maintain scalable data engineering solutions based on Databricks and cloud data platforms
  • Implement and optimize data pipelines using PySpark, Python, and Spark SQL
  • Work closely with business stakeholders to understand requirements and translate them into technical solutions
  • Actively participate in consulting activities, advising clients on best practices in data engineering and analytics platforms
  • Develop and maintain solutions using key Databricks features, including notebooks, jobs, and structured streaming
  • Ensure high data quality through testing, monitoring, and validation of data pipelines
  • Collaborate with distributed teams, contributing to code reviews, documentation, and knowledge sharing
  • Lead and guide other developers, supporting technical decision‑making and delivery standards
  • Communicate technical concepts clearly to client stakeholders and non‑technical audiences

Oferta

  • 100% remote work from Poland
  • Long‑term cooperation on international projects
  • Occasional travel to Germany for workshops or client meetings
  • Opportunity to work with modern cloud and Databricks technologies
  • Real influence on architecture, standards, and engineering practices
  • Collaborative, knowledge‑sharing team culture
  • Competitive compensation aligned with experience and responsibilities

Inne informacje

Only candidates located in Poland are eligible for this 100% remote position. Occasional business trips to Germany are required.

Experis

Experis

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