Job application (Senior) Data & MLOps Engineer (mfd), Bucharest (Romania)

Tchibo GmbH; Hamburg; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading eCommerce company in Hamburg is seeking a skilled MLOps Engineer to develop and enhance its MLOps framework, manage ETL/ML pipelines, and collaborate with cross-functional teams. The ideal candidate has over 5 years of experience in Data Engineering and is proficient in GCP, Python, and SQL. This role offers a flexible hybrid working policy, excellent benefits, and a dynamic work culture.

Leistungen

Flexible hybrid working policy

26 vacation days

Monthly transport allowance

Meal tickets

Health & life insurance

Free Tchibo coffee

Qualifikationen

• 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.
• Deep expertise in GCP: GCS, BigQuery, Cloud Run, Vertex AI.
• Fully proficient in English; German preferred.

Aufgaben

• Develop and enhance the MLOps framework and drive adoption across ML projects.
• Build and maintain ETL/ML pipelines using GCP services and orchestration tools.
• Implement CI/CD processes and GitLab pipelines for automated ML deployments.
• Monitor and optimize production ML systems for stability and performance.
• Collaborate with cross-functional teams to advance ML system maturity.

Kenntnisse

Data Engineering

MLOps

DevOps

Python

SQL

GCP

Docker

Terraform

API Development

Agile Methodologies

Ausbildung

Bachelor’s / Master’s in Computer Science or related field

Tools

GCP (BigQuery, Cloud Run)

Airflow

GitLab CI/CD

Jobbeschreibung

Overview

Digital. Inspiring. Unique.

Tchibo is one of the ten largest eCommerce companies in Germany. We work with the latest technologies to develop sustainable and effective solutions. We are looking to enrich our team with fresh ideas.

This position is located in Bucharest Romania.

Responsibilities

• 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

• Bachelor’s / Master’s in Computer Science, Software Engineering, or related field
• 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 and automated pipelines
• Deep expertise in GCP: GCS, BigQuery, Cloud Run, Vertex AI
• Skilled in Docker, dev-containers, and microservices
• Proficient with Terraform, dbt, and Airflow orchestration
• Experience in API development and 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 and organized, able to manage multiple priorities
• Fully proficient in English; German preferred

Your benefits

• 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: Impactful projects in a collaborative and open-minded team
• Diversity & Inclusion: A place where your perspectives and ideas are valued

Ready to unlock the power of data at Tchibo? Join us and make an impact that goes beyond numbers. Your contact person is Maria Manu.