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PAParloa

Staff Data Engineer – Internal Platform(m/w/x)

Berlin
Full-timeOn-siteExperienced
AI/ML

Building internal data infrastructure for agentic AI, including a self-serve access layer for AI agents. Experience designing AI/LLM data layers required. Databricks workspace management, Airbyte pipeline configuration.

Requirements

  • Experience designing AI/LLM data layers
  • Proficiency in Python, SQL, ETL/ELT tools, MLOps
  • Knowledge of dimensional modeling
  • Knowledge of modern data warehouse technologies
  • Ability to execute complex requirements
  • Ability to resolve performance issues
  • Ability to articulate technical concepts to non-engineers
  • Ability to make data architecture decisions understandable
  • Passion for data engineering innovation
  • Ability to define Al adoption KPIs
  • Understanding of AI data consumption
  • Understanding of data optimisation for AI

Tasks

  • Build and own data infrastructure for internal AI transformation
  • Create single, self-serve access layer for AI agents and teams
  • Define KPIs and dashboards for AI adoption and impact tracking
  • Configure and manage internal Databricks workspace end-to-end
  • Build and maintain Airbyte pipelines for data ingestion
  • Implement architecture for transforming raw data into analysis-ready datasets
  • Partner with AI Transformation Team for data enablement
  • Define and build KPIs and dashboards for AI usage and impact
  • Manage data classification, access policies, and compliance
  • Monitor data pipelines for governance and compliance

Work Experience

  • approx. 1 - 4 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • SQL
  • ETL/ELT tools
  • MLOps
  • AI
  • LLM
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