Data Engineering Associate (Fashion)
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
- growing international and diverse team.
What you’ll 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 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.
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).
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).
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).
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.
- Informações detalhadas sobre a oferta de emprego
Empresa: Metyis Localização: Porto
Porto, Porto District, PortugalPublicado: 2. 12. 2025
Vaga de emprego atual
Seja o primeiro a candidar-se à vaga de emprego oferecida!