Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From ecommerce to checkout, to delivery software, we work on a wide range of products to meet the needs of our users - METRO’s customers and employees from across 23 countries. With passion and responsibility, we move the wholesale industry towards digitization and leverage METRO’s long history and expertise in B2B for building a more sustainable market ecosystem.

 

What you can expect:  

Holistic approach: You are involved in all phases of data- and ml-engineering, from data preparation over model implementation to testing and ultimately running it on the cloud. A high working quality, which is ensured by extensive test automation.

Teamwork: You are part of an independent data science team with colleagues from all over the world which develop predictive and recommender system models and deploy them continuously to production. A constant exchange of knowledge within our analytics and data science hub, but also with product manager and stakeholders.

Modern work philosophy: An agile development environment with pair programming, code reviews and international showcases. Use of innovative and state of the art technologies.

 

Your new challenges:

With our customer lifecycle recommender systems we support the automation of personalized communication and provide an early detection of the customer lifecycle stages. We strive to improve the existing machine learning predictions by continuous improvements of the technical set up and model in order to ensure an easy and highly efficient usage by our marketing colleagues.

In your new role as a Data Engineer you will enhance our data integration processes, incorporate new data sources, and work together with data scientists to empower analytics and machine learning modeling. By helping to move prototypes in production and providing technical support for the existing solution, you are strongly contributing to our insights and data understanding.

Curious to get more information about the team, the product, or the tech stack? https://metro.digital/products

 

Required key competencies and qualifications:

  • Work experience as a Machine Learning Engineer, Data Engineer or similar role
  • Experience with cloud provider, preferably Google Cloud Platform
  • building back-end components using SQL, Python
  • Good knowledge of version control with Git
  • Experience with managing infrastructure in Kubernetes
  • Ability to work as part of an international team, share knowledge actively and contribute with your own ideas and expertise
  • Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems;
  • Stay on top of technology trends and continuously strive to get better at your craft;
  • Advanced English language speaker

 

Our tech stack:

  • Google Cloud
  • DBT, BigQuery
  • Python, R, Docker
  • FastAPI, Kubernetes (GKE), Kubeflow, Istio
  • Terragrunt/Terraform, FluxCD
  • Argo (Workflows/Events) / DataDog / Github



Our general Benefits:

Work-Life Balance: flexible working hours, homeoffice, 30 days of vacation and flexible office options.

Personal growth: a comprehensive further training offer over our METRO House of Learning as well as individual development opportunities.

Well-being: Health programs, pension scheme, regular employee events and the opportunity to participate in the annual METRO Marathon.

Comfort: very good transport connections and free parking spaces including charging stations for e-mobility. Two canteens with delicious and discounted meals plus other catering facilities. Furthermore, discounts in our stores as well as at many partner companies. 


Our Values:

Respect:
You respect individuals and mutual ideas, and appreciate each contributions. Furthermore, you can admit mistakes in order to learn and grow

Pragmatism: 
You strive for simple and effective solutions and processes, get things done by taking calculated risks rather than doing it perfectly, and continuously run experiments and making data-drdiven decisions to mazimize the value.

Ownership: You love to take the initiative and moving things forward. Furthermore, you hold yourself accountable for the outcomes and empower yourself to make decisions.

Passion:
You are passionate about solving our customer's problems, have an inspirational attitude and are enthusiastic. And you strive for the highest standards and continuously improvement.
 

    Have we aroused your interest? Then we are looking forward to your online application. METRO is an Equal Opportunity Employer. We offer all qualified applicants full equal opportunities.

    Your point of contact: Adrian Schröter 

    Job Details

    Date posted07 July 2022

    Location(s)Düsseldorf, GermanyBerlin, Germany

    ProfessionData Engineer

    ProjectData Science

    Employment TypeFull-time

    Apply now