Main Responsibilities: Design, develop, and maintain data acquisition workflows from heterogeneous data sources; Integrate data through REST APIs, Web Services, and other data exchange mechanisms; Develop and maintain robust, scalable, and high-performance ETL/ELT pipelines; Perform data extraction, transformation, cleansing, validation, and loading activities; Develop integration scripts and connectors using Python and leverage data from SQL databases and business applications; Implement controls to ensure data quality, consistency, availability, and freshness; Design and optimize SQL queries and data models to support analytics and business intelligence needs; Contribute to the implementation and maintenance of Data Warehouse architectures and Data Platforms; Prepare and structure datasets for business teams, Data Analysts, and Data Scientists; Support the industrialization of data flows feeding dashboards, KPIs, and Power BI solutions; Ensure data traceability, reliability, and security across all delivered datasets; Collaborate with IT, business, and industrial teams to enhance data valorization and continuously improve data processes. Required Skills: Strong proficiency in Python, SQL, and leading data integration tools; Hands-on experience in designing and optimizing ETL/ELT pipelines, as well as integrating data through APIs and Web Services; Knowledge of Data Warehouse architectures, data modeling, and data visualization tools, particularly Power BI; Ability to ensure data quality, consistency, and reliability throughout the data lifecycle; Strong analytical skills, attention to detail, autonomy, and the ability to work effectively in a collaborative environment; Experience in an industrial environment and knowledge of IT/OT integration challenges would be considered an asset. Education Experience: Engineering Degree or Master's Degree (Bachelor’s +5) in Computer Science, Data Engineering, Information Systems, or a related field; 3 to 5 years of experience in Data solution development, data integration, and the implementation of analytics and decision-support architectures; Experience in industrial, mining, energy, or manufacturing environments is highly desirable; Knowledge of industrial systems (SCADA, PLC, DCS, IoT, MES, LIMS) and IT/OT convergence challenges would be a significant advantage. The position is based in Casablanca.