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StellenanzeigeVollansicht
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