Job Description

Data & Analytics - Data Engineering Lead (all genders)

Vienna

experienced

hybrid

full-time

all genders

asap

Data & Analytics

Your Tasks

  • Lead and grow a data engineering team; coordinate projects with data scientists, engineers, and product owners
  • Design, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows
  • Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
  • Define standards, reusable templates, and documentation for group-wide use
  • Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
  • Manage platform costs and pipeline performance

Your Benefits

37,5 Working Hours, Flexi Time & Home-Office

Learning & Development

Life Balance & Family Specials

Modern Workspace & Cante...

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