Data Engineering Associate

Metyis AG; Porto; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A global consulting firm in Porto is seeking a Data Engineering Associate to join their Data and Analytics team. The role involves engineering solutions to business challenges in digital marketing and e-commerce. Candidates must have 3-5 years of experience in data analytics, strong programming skills in Python (PySpark), and hands-on experience with Azure technologies. This position offers opportunities to collaborate with top industry stakeholders and drive impactful changes.

Serviços

Opportunity to work with major brands

Collaborative international team

Training and development opportunities

Qualificações

• 3-5 years of experience in data analytics.
• Software development experience using Python (PySpark).
• Good knowledge of object-oriented programming.
• At least 2 years of hands-on experience with Azure services.
• Understanding of data warehousing principles and best practices.
• Advanced SQL, data transformation and profiling skills.
• Experience of building production ETL/ELT.

Responsabilidades

• Engineer complete technical solutions to solve business challenges.
• Support clients in executing their Big Data strategies.
• Collaborate closely with partners and data scientists.
• Share data engineering knowledge through training.
• Guide and mentor junior team members.

Conhecimentos

Data analytics experience

Python (PySpark)

Object oriented programming

Azure: Data factory, Databricks

Advanced SQL skills

ETL/ELT experience

Git, CI/CD operations

Basic knowledge of Power BI

Advanced English

Problem-solving skills

Formação académica

Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering or related disciplines

Ferramentas

Power BI

Docker

Descrição da oferta de emprego

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.