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

Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.

Become the go-to person for end-to-end data handling, management, and analytics processes.

Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.

Become part of a fast-growing international and diverse team.

What you will do

Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions

Undertake processing of structured and unstructured data

Undertake work related to ETL activities

Development of data processing codes for automation & building scalable solutions

Develop and maintain data solutions for clients / projects

Communicate and interact with clients at the executive level

Collaborate with data science, reporting and product development teams

What you will bring

3 – 6 years of experience in the field of data engineering

Education: Graduate degree or higher with courses in programming, data analytics

Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities

Good programming skill in Python/scala or any scripting language

Good knowledge of SQL is a required

Basic knowledge and understanding of big data

Knowledge on any one of the cloud platforms like Microsoft Azure, AWS or GCP

Good to have GIT, CI-CD knowledge

Strong business acumen and appreciation for business processes is desired

Excellent written and oral communication skills in English language is a must

We are united by our differences

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Recruitment Disclaimer

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.

Mid Data Engineering Associate (Fashion) Porto, Portugal

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