Senior Full-Stack Data Engineer (Fashion)

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

Metyis is Growing! We are looking for a Senior Full-Stack Data Engineer with +5 years of experience to join our global Data and Analytics team at our Digital Campus in Porto.

Who we are

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

• Opportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analytics

• Driving high-impact insights enhances decision-making across the entire organization

• 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

You're an experienced Senior Full-Stack Data Engineer with a strong knowledge of the full data engineering, software engineering, streaming and DevOps lifecycle.

• 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

Data Engineering:

• 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, or GCP

• Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric

• Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control‑M

• Experience in using data warehouse and data lake solutions such as SAP BW and Azure Data Lake

• Experience with test driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python

• Experience with SQL & No‑SQL databases such as Azure SQL, or MongoDB

• Experience with RESTful APIs and microservice architecture

• Experience with GIT version control

Software Engineering:

• Strong knowledge of software design patterns & principles, functional programming, and object-oriented programming

• Strong ability to write clean, maintainable and scalable code

Streaming:

• Strong knowledge of Azure Event Hub, Apache Kafka and its ecosystem

• Strong knowledge of stream processing frameworks such as Confluent KSQL, or Spark Structured Streaming

DevOps:

• Strong knowledge of containerisation and orchestration technologies such as Docker, or Kubernetes

• Experience with data serialization languages such as JSON, or YAML

• Experience with infrastructure as code such as Terraform

• Experience with DevOps tools such as Azure DevOps, or GitHub

Soft skills:

• Experience with agile methodologies, such as Scrum or Kanban (e.g. with tools such as Azure DevOps, or Jira/Confluence)

• Excellent communication, collaboration, and problem-solving skills

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.