Mid-Senior Data Engineer We are seeking a skilled Data Engineer to design, build, and maintain scalable and reliable data pipelines that integrate with Machine Learning and Large Language Model (LLM) models. The ideal candidate will have experience in ingesting, processing, and modeling structured and unstructured data from diverse sources. They will work directly with LLM, predictive, and optimization models for process efficiency, resource planning, and compliance analytics. - Main Responsibilities: - Design and develop scalable data pipelines that seamlessly integrate with ML and LLM models. - Maintain optimal data pipelines ready to be scaled across multiple locations in a hybrid cloud / edge environment. - Extract and assemble large, complex data sets to be consumed directly in machine learning models or analytics applications. - Enhance and sustain the current data platform and ecosystem through system configuration, performance optimization, monitoring of data pipelines, and providing operational support to users. - Collaborate with data scientists and machine learning engineers to integrate data pipelines with ML models and deploy AI solutions into production. - Mentor and guide junior data engineers in their professional development, fostering a culture of knowledge sharing and continuous learning. Requirements: - Graduate degree in Computer Science, Data Engineering, Statistics, Informatics, Information Systems, or another quantitative field. - 5-7 years of experience in a Data Engineer, DWH/ETL developer, BI engineer, or similar analytics development role, with a proven track record of building data infrastructure or analytics pipelines in production environments. - Expert knowledge of SQL, with the capacity to efficiently extract and collate meaningful information from high-volume sources and structuring it into a comprehensive and usable data set. Benefits: - A very competitive salary. - 100% remote work flexibility. - Annual performance bonus. - Flexible weekly schedule. - 18-25 vacation days depending on tenure. Bonus: - Lifetime health insurance. - Prepaid medicine coverage.