Data Engineering Lead (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 major brands in the fashion industry
  • Opportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analytics
  • Driving high-impact insights enhances decision-making across the entire organization
  • Driving brand equity and digital sales through enhanced digital experiences
  • Interaction with senior business and eCommerce leaders regularly to drive their business toward impactful change
  • Become part of a fast-growing international and diverse team

What you will do

  • Influence & implement the technical roadmap of our clients considering overall technology and architecture roadmaps.
  • Be responsible for materializing the Architecture, making sure that technical and non-technical components work together in the product to deliver the customer needs.
  • Lead the digital development and operations using Databricks and the Microsoft Azure Cloud, ideally with some Data Quality experience.
  • Steer the technical excellence of the application and consistency with relevant digital frameworks, best practices, and standards.
  • Coach and enable other product team members to deliver best-in-class products.
  • Support data platforms and data products with the collaboration of the data science team –recommendation systems, data lakes/hubs, data insights and dashboards, etc.
  • Lead project activities and be responsible for the evaluation of business needs and objectives, in collaboration with the project team and other stakeholders.

What you’ll bring

  • 5+ years of experience in a similar role with hands-on experience in developing and deploying data-oriented solutions using Azure Data Factory, Azure Databricks, and other Azure data analytics services. Streaming is a plus.
  • Solid knowledge of data warehousing principles, concepts, and best practices (e.g., ODS, data marts, data lakes, data vault, 3NF).
  • Good understanding of common platforms and practices regarding digital development; Cloud-based setups, Advanced Analytics and computing environments, GitHub (or similar) and CI/CD workflows.
  • Experience in setting up automated testing frameworks including unit tests and integration tests.
  • Advanced SQL, data transformation, and data profiling skills.
  • Experience in building production ETL/ELT pipelines at scale.
  • Data governance experience.
  • Experience with Airflow is a plus.
  • Programming languages: Python / Pyspark (OOP), scripting languages like bash.
  • Customer-centric, passionate about delivering great digital products and services.
  • Demonstrating true engineering craftsmanship mindset.
  • Passionate about continuous improvement and working collaboratively.
  • Strong problem-solving skills coupled with the ability to convey designs and ideas to a wider audience.
  • Comfortable with ambiguity, highly autonomous.
  • A Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).
  • Ability to work in the English language with strong written and oral communication skills.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

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