Role overview

Senior Data Engineer

Requirements and responsibilities

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Details

  • Design, build, and monitorETL pipelinesusingAzureandSpark technologies
  • Implement scalable, cloud-nativedata processing workflowsusingPySpark
  • Configure and operate core Azure services:Databricks,Azure Data Factory,Azure Data Lake Storage, andAzure Functions
  • Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions
  • Translate business needs into reliable and secure data products
  • Ensure data quality, governance, and performance best practices across solutions
  • Experience withLinux/Bash scripting
  • Familiarity withDockerorKubernetes
  • Domain experience inretail,financial services,energy, or thepublic sector

Requirements

  • At least4 yearsof professional experience indata engineering
  • Proven experience withlarge-scale data processing and transformation pipelines
  • Hands-on knowledge ofAzureor other majorcloud platforms
  • Solid coding skills inPython(especially pandas/numpy) andSQL
  • Familiarity withGit workflowsin a collaborative development setting
  • Fluency inPolishandEnglish(C1 minimumlevel in English required)

Benefits

  • Solid, competitive salary.
  • Work in multilingual, multinational and multicultural environment on international projects
  • Medical care
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAzurePrimary skills
Location1 accepted countryEligibility

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