Job Title: Senior Data Engineer We are seeking a Senior Data Engineer who will play a pivotal role in ingesting, processing, and modeling structured and unstructured data from diverse sources. Your work will directly support LLM, predictive, and optimization models for process efficiency, resource planning, and compliance analytics. The ideal candidate will design, build, and maintain scalable and reliable data pipelines that seamlessly integrate with ML and LLL models to support Holcim's strategic initiatives. Key Responsibilities: 1. Design, build, and maintain data pipelines that integrate with ML and LLL models. 2. Maintain optimal data pipelines ready to be scaled across multiple locations in a hybrid cloud / edge environment. 3. Extract and assemble large complex data sets for consumption in machine learning models or analytics applications. 4. Enhance and sustain the current data platform and ecosystem through system configuration, performance optimization, monitoring of data pipelines, and operational support to users. 5. Collaborate with data scientists and machine learning engineers to integrate data pipelines with ML models and deploy AI solutions into production. 6. Mentor junior data engineers in their professional development. 7. Design data pipelines for ingestion, transformation, and storage of industrial data sources (e.g., time series, SCADA systems, logs, PDFs). Requirements: 1. Graduate degree in Computer Science, Data Engineering, Statistics, Informatics, Information Systems, or a quantitative field. 2. 5-7+ years of experience as a Data Engineer, DWH/ETL developer, BI engineer, or similar analytics development role. 3. Expert knowledge of SQL and ability to extract meaningful information from high-volume sources.