Data Engineering Associate

Who we are

Metyis is growing We are looking for a Data Engineering Associate to join our Data and Analytics team in Porto. The ideal candidate should have 3+ years of professional experience.

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.

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

- Working with Data Engineers 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

- Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, e-commerce, Business Intelligence, and self-service analytics.

- Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.

- Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.

- Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.

- Share data engineering knowledge by giving technical training.

- Guide and mentor team junior members.

What you’ll bring

- 3-5 years of experience in data analytics.

- Software development experience using programming languages: Python (PySpark).

- Good knowledge of object oriented programming & ability to write clean maintainable code.

- At least 2 years of hands on experiencewith Azure: Data factory, Databricks and other data analytics services. Knowledge of streaming is a plus.

- Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).

- Advanced SQL, data transformation and data profiling skills.

- Experience of building production ETL/ELT.

- Knowledge of Git, CI/CD operations and Docker.

- Basic knowledge of Power BI is a plus.

- Advanced level of English (written and spoken).

- 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.

- Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).

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.

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