Data Engineering Associate — End-to-End Analytics

Mastercard; Porto; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Metyis is seeking a Data Engineering Associate to join our global Data and Analytics team at the Digital Campus in Porto. You will work on end-to-end data handling, from acquisition to visualization, collaborating with data scientists and client teams.

The ideal candidate has 3–6 years in data engineering, strong SQL, Python/Scala skills, and experience with cloud platforms, enabling development of scalable data solutions for projects with major clients like HUGO BOSS.

Qualificações

• 3–6 years of experience in data engineering
• Graduate degree or higher with coursework in programming and data analytics
• Strong logical reasoning, critical thinking and problem-solving
• Proficient in Python/Scala or similar scripting language
• Strong SQL knowledge
• Basic knowledge of big data
• Experience with at least one cloud platform (Azure, AWS or GCP)
• Git and CI/CD knowledge
• Strong business acumen and understanding of business processes
• Excellent written and oral English skills

Responsabilidades

• Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions
• Undertake processing of structured and unstructured data
• Undertake work related to ETL activities
• Development of data processing codes for automation and building scalable solutions
• Develop and maintain data solutions for clients / projects
• Communicate and interact with clients at the executive level
• Collaborate with data science, reporting and product development teams

Conhecimentos

Data engineering

Python/Scala

SQL

Big data

English communication

Formação académica

Graduate degree or higher in related field

Ferramentas

Git

CI/CD

Cloud platforms (Azure/AWS/GCP)

Descrição da oferta de emprego

Metyis is seeking a Data Engineering Associate to join our global Data and Analytics team at the Digital Campus in Porto. You will work on end-to-end data handling, from acquisition to visualization, collaborating with data scientists and client teams.

The ideal candidate has 3–6 years in data engineering, strong SQL, Python/Scala skills, and experience with cloud platforms, enabling development of scalable data solutions for projects with major clients like HUGO BOSS.