Lead Data & AI Engineer (m / f / d)

About The Role

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.

This role sits at the intersection of technology, strategy, and delivery . You will help Yukawa strengthen its positioning as a leading partner for data platforms and applied AI, including the development of strategic partnerships (e.g. with Databricks and cloud providers).

About Yukawa

Yukawa is a leading provider of digital ecosystems, IoT solutions, and intelligent software for new ventures and enterprises. We design and implement end-to-end systems across hardware, cloud, data, and applications, connecting devices, data, and people.

What sets us apart is our close collaboration with clients and our strong business understanding. We work as an integrated partner, combining strategy, architecture, and execution to deliver solutions that create measurable impact.

As a remote-first engineering consultancy, we value technical excellence, ownership, and teamwork. Our teams work with modern data platforms, AI frameworks, and scalable cloud architectures to build reliable, maintainable, and future-proof solutions.

Tasks

Technical & Hands-on

• 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

Requirements

Benefits

Flexible work environment with remote or hybrid options

Competitive compensation and international projects

Pension scheme

Employee Benefits

Flexible Working Times and Vacation Policy

Opportunities to make an impact with experienced architects and developers

Personal development and growth opportunities

Budget for conferences and education

Technology of your choice

Mandatory residence in Germany at the time of employment.

German language proficiency at B1 level or higher is required and will be assessed during the interview process.