Lead Data & AI Engineer gesucht in Aachen

Yukawa is looking for a Lead Data & AI Engineer who combines deep technical expertise with strategic leadership. In this role, you will design and implement scalable data and AI platforms while also shaping Yukawa's overall Data & AI offering.

You will work hands-on in client projects, architecting modern data lakehouse solutions and building AI-driven products for forecasting, optimization, and intelligent automation. At the same time, you will lead and grow a team of Data & AI engineers, define best practices, and act as a trusted technical advisor for our clients., * Design and implement scalable data architectures, including modern datalakehouse platforms (e.g. Databricks, Delta Lake).

• Build and operate production-grade data pipelines, ML workflows, and AI services.
• Develop AI models for forecasting, optimization, anomaly detection, and intelligent automation.
• Build and deploy AI-powered APIs and microservices in cloud-native environments.
• Apply best practices in MLOps, experiment tracking, CI/CD, and model lifecycle management.
• Support data analysis, feature engineering, and system optimization in client projects.

Leadership & Strategy

• Lead and mentor a growing team of Data & AI engineers, setting technical standards and best practices.
• Define and continuously evolve Yukawa's Data & AI architecture patterns, toolchains, and delivery approach.
• Drive the strategic development of Yukawa's Data & AI offerings, including data platforms, analytics, and applied AI solutions.
• Act as a senior technical sparring partner for clients, supporting discovery phases, solution design, and decision-making.
• Build and maintain strategic technology partnerships (e.g. Databricks, cloud providers, data tooling vendors).
• Contribute to presales, proposals, and technical positioning together with consulting and delivery leads.
• Collaborate with the Leadership team on the strategic development of Yukawa as leading AI and IoT driven service company.

• Strong experience in data engineering, analytics platforms, and applied machine learning.
• Proven hands-on experience with modern data stacks (e.g. Databricks, Spark, Delta Lake, cloud data services).
• Solid understanding of cloud architectures (Azure, AWS, or GCP) and production-grade AI systems.
• Experience leading technical teams or acting as a technical lead in complex projects.
• Ability to translate business challenges into scalable data and AI solutions.
• Strong communication skills and confidence working directly with clients and stakeholders.
• A strategic mindset combined with a strong willingness to stay hands-on.