Data Engineering Associate (Fashion) Porto

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.

Who we are

We are Metyis, a
- 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
- 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, e
Commerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a
-
-
- art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ e
Commerce 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
- 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.
• Work with Data Engineers to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
• Become part of a
  - growing international and diverse team.

What you will do

• Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing,
  - commerce, Business Intelligence, and
  - service analytics.
• Collect functional and
  - 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
  - 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 (Py
  Spark).
• Good knowledge of object oriented programming & ability to write clean maintainable code.
• At least 2 years of hands on experience with 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
  - 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).

In a changing world, diversity and inclusion are core values for team
- 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 they are living with a disability, as each of them has their own experience and identity.