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The Data & AI department brings together expertise in Data Science with Generative AI, Machine Learning & Predictive Analytics, On-/Offsite Analytics & Tracking, Data Engineering, and Enterprise Reporting.

We're on a mission to embed a data-driven mindset, champion customer-centricity in everything we do, and unlock sustainable business value through innovative AI-driven solutions.

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This role will contribute to:

• Reinforcement of our "Machine Learning & Predictive" team to accelerate our MLOps and data infrastructure capabilities
• Scaling technical foundation for ML operations across strategic business areas
• Meeting growing internal demand for robust, production-ready ML systems and data pipelines
• Enabling data-driven transformation at Tchibo through improved technical infrastructure and MLOps maturity
• Supporting Data Science teams with enhanced deployment capabilities and operational excellence

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Responsibilities

• Development and enhancement of our MLOps framework and establishment across ML projects
• Building and maintaining ETL/ML pipelines using GCP services, Airflow, and modern orchestration tools
• Implementation of CI/CD processes and GitLab pipeline development for automated ML deployments
• Infrastructure management using Terraform, containerization (Docker), and cloud-native GCP services
• Technical support for Data Science teams in MLOps/DevOps implementation and best practices
• Monitoring and optimization of production ML systems for stability, performance, and scalability
• API development and integration to enable seamless data flow and model serving
• Collaboration with cross-functional teams to improve ML system maturity and operational excellence

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Requirements:

• Bachelor's/Master's degree in Computer Science, Software Engineering, or equivalent field
• 3-5+ years of proven track record in Data Engineering, MLOps, or DevOps environments
• Demonstrated experience in agile working methodologies and cross-functional teams
• Extensive experience in data processing, ETL & ML pipeline development and orchestration
• Strong software development proficiency in Python and SQL with clean code principles
• Hands-on experience with GitLab CI/CD, developing CI components and automated pipelines
• Deep expertise in GCP ecosystem and native services: GCS, BigQuery, CloudRun, VertexAI
• Proficient in containerization technologies (Docker, dev-containers) and microservices
• Skilled in Infrastructure as Code (Terraform), dbt, and Airflow orchestration
• Experienced in API development and modern DevOps practices
• Collaborative team player with a strong service mindset towards Data Science teams
• Pragmatic problem-solver who balances technical excellence with business needs
• Strategic thinker who maintains oversight in complex technical landscapes
• Self-driven and organized approach to managing multiple priorities
• Full professional proficiency in English

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Benefits:

• 26 days of vacation
• Meal vouchers
• Christmas vouchers
• Medical subscription + health insurance
• Transport allowance

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Only candidates considered suitable for the role will be contacted for an interview.

All your data is confidential, regardless the recruitment process status.

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