Azure Data & Analytics DevOps Engineer

Metyis is growing! We are looking for an Azure Data and Analytics DevOps Engineer with 5-8 years of experience, to join our 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

• Define and drive the DevOps strategy for the organization's Azure-based Data Platform, ensuring alignment with business goals and technological advancements.
• Design, develop, implement, automate, and continuously optimize advanced CI/CD/CT pipelines for complex data workflows, ensuring scalability, reliability, and efficiency.
• Leverage Azure Data Services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake) to integrate DevOps pipelines with big data workflows and frameworks like Apache Spark and Delta Lake.
• Establish and enforce DevOps best practices, including automated testing, deployment strategies, and compliance with security and regulatory standards.
• Implement Azure-native security features such as Azure Key Vault, Managed Identities, and Azure Policy to ensure secure infrastructure and data workflows.
• Lead efforts in observability, monitoring, and incident resolution to ensure the platform's reliability and performance.
• Stay at the forefront of emerging data technologies, trends, and best practices. Lead the evaluation and adoption of cutting-edge tools and methodologies to enhance the organization's DevOps ecosystem.
• Mentor and coach data engineers, data scientists, and DevOps professionals, fostering a culture of technical excellence, collaboration, and continuous learning.
• Act as a bridge between Data Engineering, Data Science, MLOps, and Cloud Infrastructure teams, driving seamless integration and alignment across functions.

What you will bring

• 5+ years of hands-on experience as an Azure DevOps Engineer or in a similar senior role within Data & Analytics.
• Deep expertise in Microsoft Azure services, with a focus on data platforms, security, and scalability.
• Experience with CI/CD tools (e.g., Azure DevOps Pipelines, GitHub Actions) and the ability to design robust deployment pipelines. Hands-on experience integrating Databricks into CI/CD pipelines is a must.
• Proven experience working with Azure Data Services and integrating DevOps pipelines with big data workflows and frameworks like Apache Spark and Delta Lake.
• Expertise in multi-cloud IaC using tools like Terraform and Azure Resource Manager (ARM) templates to ensure efficient and repeatable deployments.
• Advanced proficiency in scripting languages (e.g., Python, YAML, Git, Bash, PowerShell) to automate complex workflows. Experience with Python packaging and dependency management tools like Poetry to ensure efficient and reproducible workflows.
• Skilled in integrating Azure Data Factory into DevOps pipelines to orchestrate, automate, and streamline end-to-end data workflows with robust monitoring and deployment practices
• Strong experience in testing frameworks and data quality tools (e.g., pytest, Great Expectations) to ensure high standards of data reliability.
• Advanced experience with containerization (e.g., Docker) and orchestration technologies (e.g., Kubernetes) for managing distributed systems.
• Demonstrated experience working in and leading Agile environments (e.g., Scrum), driving team productivity and adaptability.