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2.845 Ausschreibungen · gruppiert
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data engineer for marketing analytics

Veröffentlicht am

Arbeitsort
10115 Berlin, Berlin, Deutschland
Gehaltsschätzung
65.000–85.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-14). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.

Stellenbeschreibung

Описание:

KPMG provides business consulting and services, supporting clients with marketing, business development, sales, analytics, and AI-driven solutions.

Задачи:

  • Develop data-driven solutions and innovative AI applications for marketing, business development, and sales
  • Build data pipelines and data models for analytics, BI, and AI use cases
  • Contribute to the design, development, and operation of agent-based workflows for business process automation and recommender systems
  • Help plan and implement modern cloud architectures, including Microsoft Azure and Databricks
  • Optimize ETL/ELT processes and data pipelines
  • Translate business requirements into sustainable and scalable data and AI solutions together with stakeholders

Требования:

  • Hold a degree in computer science, business informatics, data science, mathematics, engineering, physics, or a comparable field
  • Have proven practical programming skills in Python or R and SQL
  • Know relevant libraries and frameworks such as LangChain, Pytorch, Pandas, and NumPy
  • Demonstrate analytical thinking, a structured working style, strong willingness to learn, and problem-solving skills
  • Show enthusiasm for technology and AI
  • Nice to have: Initial experience in artificial intelligence, machine learning, natural language processing (NLP), or generative AI; knowledge of cloud technologies such as Azure, Databricks, or Copilot Studio; basic understanding of data architectures, ETL/ELT processes, and data pipelines

Условия:

  • Structured onboarding throughout the orientation phase
  • Individual career development and regular feedback discussions
  • Flexible working hours, home office option, time accounts, and sabbaticals
  • Up to four hours of paid leave per month for social engagement
  • Regular training, workshops, and professional development
  • Benefits may vary slightly depending on the position and location