Data & DevOps Engineer (Fashion)

Data & Analytics

Mid

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 biggest brands in the fashion industry;
Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change;
Work as a facilitator within our Agile environment and be responsible for managing the exchange of information between team members;
Become part of a fast-growing international and diverse team;

What you will do

Design, develop, implement, automate & monitor CI/CD/CT pipelines for an Azure based Data Platform;
Establish and enforce DevOps best practices such as automated testing and deployment strategies;
Keep up-to-date with emerging data technologies, trends, and best practices, and make recommendations for their adoption within the organization's DevOps ecosystem;
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 Engineering, Data Science, MLOps & Cloud Infrastructure teams;

What you will bring 

3+ years working experience as Azure DevOps Engineer in the field of Data & Analytics or in a similar role;
Extensive knowledge of Microsoft Azure is required;
Good proficiency in Spark or any other big data processing tool;
You’re proficient with scripting languages (e.g. Python, YAML, git, bash, PowerShell, …);
You’re proficient with CI/CD tools (e.g. Azure DevOps Pipelines, GitHub Actions…);
You have experience with testing & data quality (e.g. pytest, great expectations, etc.);
You have experience with containerisation and orchestration technologies (e.g. Docker, Kubernetes, …);
You have experience with infrastructure as code (e.g. Terraform, …);
You have experience of working in an Agile environment (e.g. Scrum, …);
Certifications in Azure are a plus. (e.g. Azure DevOps Engineer Expert, Azure Solution Architect Expert, Azure Data Engineer Associate, ...);
Being familiar with software engineering best practises in coding, software design patterns, testing & debugging are a plus;
Being familiar with DataOps principles in observability, monitoring, & incident reporting are a plus;