AZURE DATA PLATFORM ENGINEER

AZURE DATA PLATFORM ENGINEER (HYBRID PORTO)Portuguese company hires for hybrid position📍 Location: Porto, Portugal (Hybrid – 2x per week in the office)⚠ Candidates must already live in Portugal🌍 Language Requirements: English and Portuguese (fluency required)💼 Seniority: Minimum 5 years🌐 Sector: Automotive Technology⚠ Instructions: Please send your CVs in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success_______________________________________________________About the RoleWe are seeking an experienced Azure Data Platform Engineer to join an innovative automotive technology project focused on Aftermarket analytics. This role involves developing, maintaining, and enhancing the data and analytics platform within the Azure ecosystem — ensuring high scalability, reliability, and performance for data-driven and AI-powered use cases.The ideal candidate is a hands-on engineer with strong expertise in Azure services, data integration, and DevOps practices, who thrives in collaborative and agile environments.Main Responsibilities⚙️ Platform Development & Maintenance·         Develop and maintain software components within the analytics platform, focusing on Aftermarket-specific functionalities.·         Ensure that all components are scalable, secure, and optimized for performance and cost efficiency.🔗 Collaboration & Data Integration·         Collaborate with Data Engineers, Data Analysts, and business stakeholders to translate requirements into robust technical solutions.·         Integrate relevant Aftermarket data sources, ensuring data quality and consistency across the platform.·         Contribute to the evolution of the platform architecture, supporting both analytical and machine learning initiatives.💡 Automation & DevOps Excellence·         Implement and maintain APIs, services, and automations that support analytics and ML use cases.·         Ensure best practices in DevOps, including CI/CD pipelines, monitoring, logging, and infrastructure automation using Azure DevOps.·         Proactively identify and adopt new technologies and frameworks within the Azure ecosystem.Mandatory Requirements⚠️ To be considered, your CV must clearly include the following:·         University degree in Engineering, Computer Science, Mathematics, Statistics, Data Science, or related fields;·         Minimum 5 years of experience as an Azure Platform Engineer;·         Strong hands-on experience with Microsoft Azure services, such as:o    Azure Data Factoryo    Azure Functionso    Azure Synapse Analyticso    Azure DevOps·         Proven experience in software development, preferably in Python, .NET, or Java;·         Demonstrated experience with data integration and pipeline development;·         Familiarity with service-oriented and event-driven architectures;·         Solid understanding of CI/CD pipelines, monitoring, and logging best practices;·         Excellent communication and problem-solving skills;·         Fluency in Portuguese and English (spoken and written).Valued Certifications (Nice to Have)🎓 Holding one or more of the following certifications will be a strong advantage:·         Microsoft Certified: Azure Developer Associate (AZ-204)·         Microsoft Certified: Azure Data Engineer Associate (DP-203)Soft Skills·         Strong analytical and problem-solving mindset;·         Excellent communication and interpersonal skills;·         Proactive, collaborative, and eager to learn new technologies;·         Adaptable and comfortable working in agile environments;·         Detail-oriented, focused on quality and reliability in data delivery.Work Model·         Hybrid: 2 days per week on-site in Porto;·         Collaborative environment with cross-functional data, analytics, and engineering teams driving digital transformation in the automotive industry.Keywords to Include in Your CVAzure Data Platform • Azure Engineer • Azure Data Factory • Azure Functions • Azure Synapse • Azure DevOps • CI/CD • Python • .NET • Java • Data Pipelines • Event-Driven Architecture • Cloud Data • Aftermarket Analytics • DP-203 • AZ-204 • Porto • Hybrid • Automotive Tech# 00316777