**Responsibilities:** * Design, implement, and maintain efficient and scalable data pipelines to support reporting, BI, AI, and ML. * Ensure data quality, integrity, availability, and security through robust data governance practices. * Optimize data storage and processing in cloud environments to ensure efficiency and scalability. * Collaborate with cross-functional teams to define and execute a data strategy aligned with business objectives. * Develop and maintain data catalogs and technical documentation. * Participate in defining and implementing privacy policies and regulatory compliance measures. * Support the integration and deployment of AI and ML models from a data infrastructure perspective. * Lead data engineering projects, ensuring timely and successful delivery. * Lead and develop the Data Engineering team, promoting best practices and continuous improvement. **Requirements:** * Minimum 5 years of experience in data engineering, designing and maintaining data architectures and pipelines. * At least 3 years of experience leading data engineering teams and managing projects. * Strong programming skills in Python, Java, and/or Scala. * Experience with data processing frameworks and tools such as Spark and Kafka. * Experience with cloud platforms (AWS, Azure, or GCP) and orchestration tools such as Apache Airflow or similar. * Knowledge of data governance: data quality, lineage, metadata, and access control. * Ability to work in cross-functional environments and communicate technical concepts to non-technical stakeholders. * Goal-oriented mindset and ability to lead high-impact initiatives.