Data Engineering Associate (Fashion)

Metyis AG; Porto; Presencial; EUR 30 000 - 50 000; Tempo integral

Resumo da oferta

A global data and analytics company is seeking a Data Engineering Associate in Porto. The role involves engineering solutions for digital marketing and e-commerce challenges, requiring 3-5 years of experience in data analytics and proficiency in Azure services. Candidates should have a Bachelor's Degree in a related field and a passion for continuous improvement and teamwork.

Serviços

Career development opportunities

Diverse and inclusive work environment

Qualificações

• 3-5 years of experience in data analytics.
• Good knowledge of object-oriented programming & ability to write clean maintainable code.
• At least 2 years of hands-on experience with Azure services.

Responsabilidades

• Engineer complete technical solutions for digital marketing and e-commerce challenges.
• Support clients in executing Big Data strategies through operational data platforms.
• Mentor junior team members and share data engineering knowledge.

Conhecimentos

Data analytics

Python (PySpark)

Advanced SQL

Data engineering knowledge

Git

Docker

Problem-solving

Formação académica

Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering

Ferramentas

Azure

Data factory

Databricks

Power BI

Descrição da oferta de emprego

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 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.
• Work 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 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 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).

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 they are living with a disability, as each of them has their own experience and identity.