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(Senior) Data & MLOps Engineer

Adaugat: 1 lună în urmă

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Companie :
Tchibo TECH
Functia Jobului :
Software & analiza datelor
Industrie :
IT si telecomunicatii
Locatie :
Bucuresti
Tip job :
Program Full Time
Descriere:


Short company description


Sure, Tchibo is known for its coffee, but we're so much more than that! From stylish kids', women's, and men's fashion to furniture, mobile subscriptions, and over 100,000 articles available in 8 countries across Europe, we've got a little something for everyone. And here's the twist—we're also brewing up some seriously innovative tech!
At Tchibo TECH, we're blending big data, microservices, and cutting-edge eCommerce into a recipe for innovation that's simply irresistible. Powered by curiosity (and plenty of coffee), we're all about building systems that are fast, adaptable, and future-ready.
Now, we've brought that passion to Bucharest! Our brand-new tech office is more than just a workplace—it's where ideas thrive. With a hybrid work model, you can strike the perfect balance between working from home and collaborating in the office. We believe in flexibility, well-being, and a culture that values creativity and growth. Plus, with nice perks, a cool and welcoming team, and free coffee to enjoy at home, we've built a place where you'll feel right at home.
And guess what? We're hiring.
If Java, Kotlin, Kubernetes, Node.js, TypeScript, and Google Cloud make your heart race, we've got the challenges you've been craving. Whether you're a Full Stack Developer, Software Engineer, or Technical Lead, this is your chance to work on exciting projects that will push the boundaries of what's possible.
Are you ready to turn great ideas into amazing solutions?
Join Tchibo TECH in Bucharest and let's create something extraordinary together.


Requirements


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


Responsibilities


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


Other info


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.


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