Senior Full-Stack Data Engineer, Fashion & Digital Analytics

Metyis AG; Porto; Presencial; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Career development opportunities

International and diverse team environment

Impactful role in digital transformation

Resumo da oferta

A global data solutions provider is seeking a Senior Full-Stack Data Engineer in Porto. The role involves designing and deploying software and data pipelines, mentoring junior team members, and collaborating closely with other IT and data professionals. Candidates should have over 5 years of experience and expertise in languages like Python and technologies such as Azure. This position offers opportunities to work with leading brands in the fashion industry and drive digital transformation.

Qualificações

• At least 5 years of professional software development experience.
• Strong knowledge of cloud technology like Azure.
• Experience with SQL databases and No-SQL databases.
• Ability to write clean, maintainable code.
• Experience with test-driven development.

Responsabilidades

• Design, develop, test, and deploy software & data pipelines.
• Work on a batch & streaming data processing framework.
• Mentor and provide technical guidance to other data professionals.
• Debug and troubleshoot issues.
• Research and evaluate new technologies.

Conhecimentos

Python

Spark

SQL

Scala

Rust

Agile methodologies

Excellent communication skills

Formação académica

Academic degree in computer science, software engineering, or related field

Ferramentas

Microsoft Azure

GCP

Databricks

Azure Data Factory

SAP BW

Azure Data Lake

Docker

Kubernetes

Azure DevOps

GitHub

Descrição da oferta de emprego

A global data solutions provider is seeking a Senior Full-Stack Data Engineer in Porto. The role involves designing and deploying software and data pipelines, mentoring junior team members, and collaborating closely with other IT and data professionals. Candidates should have over 5 years of experience and expertise in languages like Python and technologies such as Azure. This position offers opportunities to work with leading brands in the fashion industry and drive digital transformation.