Lead Data & AI Engineer (mfd)
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Job Location:
Yearly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
About The Role
Yukawa is looking for a Lead Data & AI Engineer who combines deep technical expertise with strategic this role you will design and implement scalable data and AI platforms while also shaping Yukawas 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
- Lead and mentor a growing team of Data & AI engineers setting technical standards and best practices.
- Define and continuously evolve Yukawas Data & AI architecture patterns toolchains and delivery approach.
- Drive the strategic development of Yukawas 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.
Requirements
- 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.
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.
Key Skills
- Laboratory Experience
- Vendor Management
- Design Controls
- C/C++
- FDA Regulations
- Intellectual Property Law
- ISO 13485
- Research Experience
- SolidWorks
- Research & Development
- Internet Of Things
- Product Development
