Data Engineer

HSO is a global IT consultancy that helps organizations transform their businesses through Microsoft technologies. It specializes in Dynamics 365, Azure, Data & AI, and industry-specific solutions, with over 2,800 professionals across more than 30 countries.

• Design, develop, and maintain scalable data solutions using Microsoft Fabric, Azure Data Factory, and Azure technologies;
• Build, maintain, and optimize data pipelines using Python, PySpark, SQL, Microsoft Fabric, and Azure Data Factory;
• Develop and support ETL/ELT processes, data integration workflows, and orchestration solutions;
• Work with structured and unstructured data from multiple sources;
• Implement and maintain data models for reporting, analytics, and AI workloads;
• Ensure data quality, governance, security, and compliance across data platforms;
• Monitor, troubleshoot, and optimize data pipelines, workflows, and platform performance;
• Collaborate with consultants, architects, and client stakeholders to deliver business-driven data solutions;
• Leverage AI-assisted development tools such as GitHub Copilot and Microsoft Copilot to improve productivity and code quality;
• Contribute to continuous improvement of engineering standards, best practices, and technical documentation;
• Support CI/CD processes and automated deployment of data solutions.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field;
• 3+ Years of experience in data engineering;
• Hands-on experience with Microsoft Fabric;
• Strong programming skills in Python and PySpark;
• Strong knowledge of SQL and data modelling principles;
• Experience designing and building modern data pipelines and ETL/ELT processes;
• Experience with Azure Data Factory and data integration solutions;
• Experience with Azure data technologies and cloud-based data platforms;
• Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts;
• Experience with Git, CI/CD pipelines, and DevOps practices;
• Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar solutions;
• Strong analytical and problem-solving skills;
• Excellent communication skills and ability to work in a collaborative, international environment.

• Competitive compensation aligned with experience and performance;
• Collaboration with international teams on large-scale projects for leading corporations;
• Access to Tech Updates sessions, team events, Microsoft Learning Platform, free Microsoft certification exams, and tailored training programs;
• Career growth opportunities within a global Microsoft partner;
• Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices.