We are supporting a large-scale digital and AI transformation initiative and are looking for a mid-level Data Engineer with strong Azure and Databricks expertise, combined with real-world experience delivering GenAI and agentic AI solutions into production environments.

This role is ideal for someone who is hands-on, engineering-focused, and already using modern AI-assisted development workflows as part of their day-to-day work.

What You’ll Be Doing:
  • Build, optimize, and maintain production-grade data pipelines on Azure
  • Develop and support GenAI and agentic AI solutions that are actively used in live environments
  • Work with Azure Databricks, Spark, and Delta Lake on scalable, business-critical workloads
  • Build backend services and APIs in Python
  • Integrate Azure AI capabilities including Azure OpenAI, Azure AI Search, and Azure AI Foundry
  • Collaborate with cross-functional engineering and AI teams to deliver reliable, scalable solutions
  • Use AI-assisted and agentic development tools as part of daily engineering workflows
What We’re Looking For:
  • Around 5 years of experience building and operating production data platforms and pipelines
  • Proven experience delivering GenAI or agentic systems on Azure beyond proof-of-concept stage
  • Strong hands-on experience with:
    • Azure OpenAI
    • Azure AI Search
    • Azure AI Foundry
    • Azure Databricks
    • Spark
    • Data Lake
  • Strong Python engineering skills, including APIs and backend services
  • Practical, day-to-day usage of AI coding assistants and agentic development tools such as:
    • GitHub Copilot
    • Claude Code
    • Cursor
    • or similar platforms
  • Fluent English communication skills
Nice to Have
  • Experience working in enterprise-scale cloud environments
  • Exposure to MLOps or AI platform engineering
  • Familiarity with modern software engineering and CI/CD practices
This profile has to be based in Europe.