Your tasks: You make the difference with us.

This position is located in Bucharest, Romania.

We’re looking for a Senior Data & MLOps Engineer (m/f/d) to join Tchibo’s "Machine Learning & Predictive" team, part of our Data & AI department. You’ll help scale robust, production-ready ML systems and data infrastructure across strategic business areas, enabling our data-driven transformation. We design, build, and operate innovative ML services for sales and logistics, and provide end-to-end support as trusted advisors across the organization. This role reinforces our MLOps capabilities to meet growing demand, enhance deployment, and ensure operational excellence for our Data Science teams.

• Develop and enhance the MLOps framework and drive adoption across ML projects
• Build and maintain ETL/ML pipelines using GCP services, Airflow, and orchestration tools
• Implement CI/CD processes and GitLab pipelines for automated ML deployments
• Manage infrastructure with Terraform, Docker, and cloud-native GCP services
• Provide technical support to Data Science teams on MLOps/DevOps practices
• Monitor and optimize production ML systems for stability, performance, and scalability
• Develop and integrate APIs to enable seamless data flow and model serving
• Collaborate with cross-functional teams to advance ML system maturity and operational excellence
• Design and maintain robust ML infrastructure and data pipeline architectures
• Enhance maturity, stability, and maintainability of ML systems to support scalable growth

Your profile: You keep reinventing us.

• Bachelor’s/Master’s in Computer Science, Software Engineering, or related field
• 3–5+ years in Data Engineering, MLOps or DevOps
• Experienced in agile methodologies and cross-functional collaboration
• Strong in data processing, ETL, and ML pipeline development/orchestration
• Proficient in Python & SQL (clean code principles)
• Hands-on with GitLab CI/CD, CI components, and automated pipelines
• Deep expertise in GCP: GCS, BigQuery, CloudRun, VertexAI
• Skilled in Docker, dev-containers, and microservices
• Proficient with Terraform, dbt, and Airflow orchestration
• Experienced in API development & modern DevOps practices
• Collaborative, service-oriented team player supporting Data Science teams
• Pragmatic problem-solver balancing technical and business needs
• Strategic thinker with oversight in complex technical landscapes
• Self-driven, organized, able to manage multiple priorities
• Fully proficient in English; German preferred

Your benefits: Together we stay different.

• Work-Life Balance: Flexible hybrid working policy, 26 vacation days + your birthday off.
• Perks: Monthly transport allowance, meal tickets, health &life insurance.
• Coffee Lovers Welcome: Free Tchibo coffee for home and office.
• Innovative Work Culture: You’ll work on impactful projects in a collaborative and open-minded team.
• Diversity & Inclusion: A place where your perspectives and ideas are valued.