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STStatista

Data Engineering Lead - Data & AI Tools(m/w/x)

Hamburg, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Leading a team building automation frameworks and agentic workflows at a global business data platform. 5+ years in Data Engineering/Ops/Software Engineering, strong Python, and AWS/Airflow/Docker experience required. Work from abroad 10 days/year, free Perplexity Enterprise access.

Requirements

  • 5+ years of experience in Data Engineering, Data Operations, or Software Engineering
  • Strong Python skills
  • Experience with cloud infrastructure (AWS preferred: ECS, EC2, EKS, S3, Lambda), workflow orchestration (Apache Airflow), containerization (Docker), and version control (git)
  • Deep understanding of AI principles
  • Excellent English communication skills
  • Passion for innovation and building autonomous AI tools

Tasks

  • Lead and mentor a team of Data and AI engineers
  • Set objectives and review code for team projects
  • Drive the development of advanced Data and AI solutions
  • Create automation frameworks and agentic workflows
  • Enhance data research and complex forecasting
  • Design and maintain scalable cloud infrastructure for AI services
  • Identify automation opportunities and streamline workflows
  • Collaborate with stakeholders to align AI solutions with goals
  • Integrate state-of-the-art methods and tools into projects

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • AWS
  • Apache Airflow
  • Docker
  • git

Benefits

Flexible Working

  • Hybrid work and flex-time

Workation & Sabbatical

  • Work from abroad 10 days a year

Team Events

  • International team and social events

Other Benefits

  • Free access to Perplexity Enterprise

Learning & Development

  • Career & training opportunities

Modern Office

  • Attractive locations and modern offices

Mental Health Support

  • Mental health support
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