Lead Data Engineer

GN Group

Ballerup, Denmark
Hybrid
Enterprise-scale distributed data platforms
Shape data platform architecture
Cloud experience (azure preferred)
GN Group is seeking a Lead Data Engineer to oversee and evolve its data foundation architecture, enabling scalable and intelligent data capabilities. The ideal candidate will have extensive experience in building enterprise-scale distributed data platforms, a strong cloud background, and excellent communication skills

Job Summary

  • As Lead Data Engineer, you will architect, design, and enable the future of our data ecosystem to enable next‑generation analytics, AI-driven automation, and autonomous digital capabilities across the organization.
  • You will shape and evolve GN’s end‑to‑end data platform architecture across batch, streaming, hybrid, and OneLake‑based domain data products.
  • You will lead, mentor, and align teams across Product, Platform, and ML to ensure cohesive roadmaps and architectural decision-making.

Matching Summary

Match Score: 85

GN Group is seeking a Lead Data Engineer to oversee and evolve its data foundation architecture, enabling scalable and intelligent data capabilities. The ideal candidate will have extensive experience in building enterprise-scale distributed data platforms, a strong cloud background, and excellent communication skills.

Skills & Requirements

Must-have

  • Enterprise-scale distributed data platforms
  • Shape data platform architecture
  • Cloud experience (Azure preferred)
  • Batch + streaming experience
  • Semantic modeling, embeddings, knowledge graphs
  • Advanced governance and observability
  • Python/Java/Scala, Spark, SQL optimization

Nice-to-have

  • Strategic thinking and long-term vision
  • Collaborative and mentoring approach
  • Curiosity and learning mindset
  • Executive-level communication skills
  • Rational approach to problem solving

Key Requirements

  • 10-15+ years building enterprise data platforms
  • Demonstrated capability to shape architecture
  • Cloud experience
  • Batch + streaming experience
  • Practical knowledge of semantic modeling, embeddings, knowledge graphs
  • Advanced governance and observability experience
  • Engineering foundation

Work Rights

Not specified

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