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Open 38d

Engineering Manager – Data & AI (all genders)

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Overview

In this role you lead and grow a high-performing Data & AI team, shaping our technical vision while contributing hands-on to projects. You drive state-of-the-art data platforms on Azure and Databricks, delivering impactful AI-enabled solutions for smarter decision-making. You partner with sales and clients to ensure successful outcomes and act as a trusted technical advisor. You’ll blend leadership with hands-on engineering to scale capabilities and accelerate transformation.

Leistungen / Benefits
  • regular training and certifications
  • career development
  • hands-on culture
  • collaborative environment
  • projects with Azure and Databricks
  • opportunity to work on Gen AI applications
Verantwortungsbereiche
  • Inspire and develop a thriving data engineering/AI team
  • Support clear career development paths, feedback, and mentorship
  • Attract top talent and foster high performance and knowledge sharing
  • Spend ~60% hands-on time guiding engineers and ensuring technical excellence
  • Lead development of robust, scalable data platforms using Azure, Databricks, and AI tech
  • Maintain high code quality, architecture standards, and project delivery
  • Evolve the tech stack and promote industry-leading practices
  • Collaborate with account teams for client needs and proposals as a technical advisor
  • Manage key client relationships and ensure successful project outcomes
  • Set goals aligned with company strategy and drive cross-team collaboration
  • Represent KI performance in the Data & AI ecosystem through thought leadership and knowledge sharing
Zentrale Anforderungen
  • Several years of experience in Data Engineering, AI, or Analytics with proven leadership
  • Deep knowledge of Azure, Databricks, AI, and modern data architectures
  • Ability to translate business problems into technical solutions
  • Strong stakeholder engagement, mentorship, and clear communication
  • Fluent business-proficient German and English communication skills
  • Mentorship
  • Stakeholder management
  • Strategic thinking
  • Azure
  • Databricks
  • AI technologies

Skills

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See also

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