Yukawa Exponential GmbH

Lead Data & AI Engineer

Yukawa Exponential GmbH

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇩🇪 Germany

Visit company website
✨ AI Apply
Apply

Salary

💰 €90,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformMicroservicesSpark

About the role

  • 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.
  • 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).

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 hours 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringmachine learningdata analysisfeature engineeringMLOpsCI/CDmodel lifecycle managementAI model developmentdata pipeline developmentcloud-native environments
Soft skills
leadershipmentoringcommunicationstrategic thinkingclient engagementproblem-solvingcollaborationtechnical guidanceadaptabilityteam management