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VEVeeva Systems

Data Engineer - Link Key People(m/w/x)

Berlin
Full-timeWith Home Office
AI/ML

Architecting data solutions for global biopharmas, enabling AI initiatives. Python and Spark expertise for massive datasets required. Fitness reimbursement, Veeva Work Anywhere.

Requirements

  • Experience with Python and Apache Spark/PySpark for massive datasets
  • Expertise in building cloud-native software within AWS or GCP
  • Background in designing/maintaining modern architectures (Data Lakes, Lakehouses, Warehouses)
  • Experience operating LLM systems in production
  • Driving technical execution within Agile environments
  • Strong English communication skills for global stakeholders

Tasks

  • Design and build robust data pipelines
  • Maintain data integrity and scalability
  • Manage complex hierarchical relationships of entities
  • Architect data solutions for global biopharmas
  • Enable global AI initiatives in high-impact environments
  • Design PySpark pipelines for data integration
  • Collaborate on ML models for Lakehouse architecture
  • Identify and implement end-to-end HCO data pipelines
  • Refine data structures and processing logic
  • Apply solid principles and clean patterns
  • Advance long-term architectural roadmap
  • Validate high-quality HCO deliveries
  • Optimize underlying infrastructure
  • Monitor and log performance metrics
  • Maintain proactive interest in AI tools

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Apache Spark
  • PySpark
  • AWS
  • GCP
  • DeltaLake
  • Redshift
  • LLM

Benefits

Other Benefits

  • Comprehensive benefits package

Healthcare & Fitness

  • Fitness reimbursement

Flexible Working

  • Veeva Work Anywhere
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Veeva Systems and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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