We are seeking an experienced **Data Engineer** to join our team on a full\-time basis. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines, with a particular focus on enabling AI\-driven solutions. This role involves close collaboration with software and AI engineering teams to ensure seamless, reliable data flows and robust cloud\-based data integration within Microsoft Azure. **Key Responsibilities** * Design, develop, and maintain scalable data pipelines and ETL processes to support AI initiatives. * Build and optimize data infrastructure to ensure efficient data management, processing, and storage in Azure cloud environments. * Collaborate with AI engineers to prepare, structure, and deliver high\-quality datasets for machine learning models. * Ensure data pipelines meet security, reliability, and performance standards. * Monitor, troubleshoot, and improve pipeline performance to guarantee timely and accurate data delivery. * Implement data governance practices and ensure compliance with data security policies. **Required Qualifications** * Proven experience as a Data Engineer, particularly in building and maintaining complex pipelines for AI or machine learning projects. * Strong proficiency in SQL and hands\-on experience with relational databases (PostgreSQL, SQL Server) and NoSQL systems (e.g., MongoDB). * Expertise in Azure\-based data solutions such as Azure Data Factory, Azure Synapse, and Azure Databricks. * Experience with data integration and orchestration tools (e.g., Apache Airflow). * Proficiency in at least one programming language for data workflows (e.g., Python). * Solid understanding of data warehousing concepts and best practices. * Strong analytical and problem\-solving abilities. * Bachelor’s degree in Computer Science, Engineering, or a related field. * Proficiency in English, both written and spoken. **Desirable Qualifications** * Familiarity with machine learning concepts and data preprocessing techniques. * Knowledge of containerization technologies such as Docker and Kubernetes for deploying data pipelines. Job Type: Full\-time