Software Engineer (Fashion)
Data & Analytics

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

What we offer 

  • Develop your professional career working with one of the biggest brands in the fashion industry;
  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change;
  • Work as a facilitator within our Agile environment and be responsible for managing the exchange of information between team members;
  • Become part of a fast-growing international and diverse team;

What you will do

  • Design, develop, test, and deploy software as part of an IT-Analytics team of data engineers
  • Work on a company-wide batch & streaming data processing framework that can be viewed as a software application
  • Optimize existing code for performance, reliability, and scalability
  • Debug and troubleshoot issues and provide technical support as needed
  • Follow best practices and standards for coding, documentation, testing, and security
  • Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning
  • Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT-Security colleagues
  • Research and evaluate new technologies and trends to improve existing software or create new solutions

What you will bring 

  • Academic degree in computer science, software engineering, machine learning engineering, or related field
  • At least 3 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust
  • Strong knowledge of software design patterns & principles, functional programming, and object-oriented programming
  • Strong ability to write clean, maintainable and scalable code
  • Experience with test driven development & testing frameworks such as pytest in Python
  • Experience with data serialization languages such as JSON, or YAML
  • Experience with SQL & No-SQL databases such as PostgreSQL, or MongoDB
  • Experience with CI/CD tools such as Azure DevOps
  • Experience with RESTful APIs and microservice architecture
  • Experience with containerisation and orchestration technologies such as Docker, or Kubernetes
  • Experience in cloud technology such as Microsoft Azure, or GCP
  • Experience with agile methodologies, such as Scrum or Kanban
  • Excellent communication, collaboration, and problem-solving skills
  • Experience in data engineering is preferred
  • Being familiar with streaming technology such as Kafka is a plus
  • Being familiar with DataOps principles in observability, monitoring, & incident reporting are a plus
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