Senior Full-Stack Data Engineer (Fashion)

Consultancy Europe; Porto; Presencial; EUR 45 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive benefits

Resumo da oferta

Consultancy Europe is seeking a Senior Full-Stack Data Engineer to join its team in Porto. This role involves designing and optimizing software and data pipelines using cloud technologies, mentoring data professionals, and ensuring the scalability of applications.

The ideal candidate should have over 5 years of experience in software development, strong knowledge of languages such as Python and Spark, and the ability to work collaboratively in a fast-paced environment. Competitive benefits are included.

Qualificações

• At least 5 years of professional software development experience in relevant languages.
• Strong knowledge of cloud technology like Microsoft Azure, AWS or GCP.
• Experience working with Azure DevOps, or GitHub.
• Excellent communication, collaboration, and problem-solving skills.

Responsabilidades

• Design, develop, test, and deploy software and data pipelines using various technologies.
• Optimize existing code for performance, reliability, and scalability.
• Mentor and provide technical guidance to other data professionals.
• Research and evaluate new technologies to improve existing software.

Conhecimentos

Python

Spark

SQL

Scala

Rust

Azure

Databricks

Azure DevOps

GitHub

RESTful APIs

Formação académica

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

Ferramentas

Azure Data Factory

py.test

Apache Kafka

Azure SQL

MongoDB

Descrição da oferta de emprego

Senior Full-Stack Data Engineer

Firm: Metyis – Location: Porto – Education: Postgraduate degree.

Who we are

Metyis is 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.

Benefits

Competitive.

What we offer

• Develop your professional career working with one of the major brands in the fashion industry
• Opportunity to accelerate the pace of digitalisation & eCommerce growth through advanced technology, business intelligence, and analytics
• Driving high‑impact insights enhances decision‑making across the entire organisation
• Driving brand equity and digital sales through enhanced digital experiences
• Interaction with senior business and eCommerce leaders regularly to drive their business toward impactful change
• Become part of a fast‑growing international and diverse team

What you will do

• Work on a company‑wide batch & streaming data processing framework that can be viewed as a software application as part of an IT‑Analytics team of data engineers
• Design, develop, test, and deploy software & data pipelines using various batch & streaming technologies, and automate & monitor CI/CD/CT pipelines for an Azure based Data Platform
• Optimize existing code for performance, reliability, and scalability
• Debug and troubleshoot issues and provide technical support as needed
• Follow best practices and standards for coding, documentation, testing, and security
• Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning
• Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT‑Security colleagues
• Research and evaluate new technologies and trends to improve existing software or create new solutions

What you’ll bring

• Academic degree in computer science, software engineering, machine learning engineering, or related field
• At least 5 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust
• Strong knowledge of cloud technology such as Microsoft Azure, AWS or GCP
• Strong knowledge of Databricks – PySpark, Unity Catalog, Delta Lake and Medalian Architecture
• Strong knowledge of object‑oriented programming, RESTful APIs, OAuth
• Good knowledge of Azure Data Factory – to build scalable data pipelines
• Experience working with Azure DevOps, or GitHub
• Excellent communication, collaboration, and problem‑solving skills
• Experience with test‑driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python is plus
• Streaming knowledge of Azure Event Hub, Apache Kafka and its ecosystem is plus
• Experience with relational & No‑SQL databases such as Azure SQL, or MongoDB is plus

DEIB statement

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.