{"id":661230,"url":"https://alion.io/job/metyis-azure-data-analytics-devops-engineer","title":"Azure Data & Analytics DevOps Engineer","company":{"id":715787,"name":"Metyis","domain":"metyis.com","url":"https://alion.io/company/metyis","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":78,"open_postings":16,"ghost_share":0.063,"stale_share":0.688,"repost_share":0.063,"time_to_fill_p50_days":36,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Great Expectations","optional":false},{"name":"Kubernetes","optional":false},{"name":"Poetry","optional":false},{"name":"PowerShell","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"WhatsApp","optional":false}],"status":"live","first_seen_at":"2026-08-13T14:48:46Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-29T05:41:32Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":76},"description":"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.\nRequirements\nWho we are\nWe 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.\nTogether 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.\nThis 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.\nWhat we offer\nDevelop your professional career working with one of the major brands in the fashion industry\n\nOpportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analytics\n\nDriving high-impact insights enhances decision-making across the entire organization\n\nDriving brand equity and digital sales through enhanced digital experiences\n\nInteraction with senior business and eCommerce leaders regularly to drive their business toward impactful change\n\nBecome part of a fast-growing international and diverse team\n\nWhat you will do\nDefine and drive the DevOps strategy for the organization's Azure-based Data Platform, ensuring alignment with business goals and technological advancements.\n\nDesign, develop, implement, automate, and continuously optimize advanced CI/CD/CT pipelines for complex data workflows, ensuring scalability, reliability, and efficiency.\n\nLeverage 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.\n\nEstablish and enforce DevOps best practices, including automated testing, deployment strategies, and compliance with security and regulatory standards.\n\nImplement Azure-native security features such as Azure Key Vault, Managed Identities, and Azure Policy to ensure secure infrastructure and data workflows.\n\nLead efforts in observability, monitoring, and incident resolution to ensure the platform's reliability and performance.\n\nStay 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.\n\nMentor and coach data engineers, data scientists, and DevOps professionals, fostering a culture of technical excellence, collaboration, and continuous learning.\n\nAct as a bridge between Data Engineering, Data Science, MLOps, and Cloud Infrastructure teams, driving seamless integration and alignment across functions.\n\nWhat you will bring\n5+ years of hands-on experience as an Azure DevOps Engineer or in a similar senior role within Data & Analytics.\n\nDeep expertise in Microsoft Azure services, with a focus on data platforms, security, and scalability.\n\nExperience 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.\n\nProven experience working with Azure Data Services and integrating DevOps pipelines with big data workflows and frameworks like Apache Spark and Delta Lake.\n\nExpertise in multi-cloud IaC using tools like Terraform and Azure Resource Manager (ARM) templates to ensure efficient and repeatable deployments.\n\nAdvanced 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.\n\nSkilled in integrating Azure Data Factory into DevOps pipelines to orchestrate, automate, and streamline end-to-end data workflows with robust monitoring and deployment practices\n\nStrong experience in testing frameworks and data quality tools (e.g., pytest, Great Expectations) to ensure high standards of data reliability.\n\nAdvanced experience with containerization (e.g., Docker) and orchestration technologies (e.g., Kubernetes) for managing distributed systems.\n\nDemonstrated experience working in and leading Agile environments (e.g., Scrum), driving team productivity and adaptability.\n\nWe are united by our differences\nAt 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.\nRecruitment Disclaimer\nMetyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @ metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. 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