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—ranging from sensor and telemetry streams to regulatory documents, process logs, and operational systems. Your work will directly support large language models (LLMs), predictive analytics, and optimization models for process efficiency, resource planning, and compliance. - Design and implement scalable data pipelines that seamlessly integrate with machine learning (ML) models to support strategic initiatives. - 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 ML models or analytics applications. - Enhance and sustain the current data platform and ecosystem through actions such as system configuration, performance optimization, monitoring of data pipelines, and providing operational support to users. - Collaborate with data scientists and ML 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. - Design and implement data pipelines for ingestion, transformation, and storage of diverse industrial data sources (e.g., time series, SCADA systems, logs, PDFs) Required Skills and Qualifications: - Graduate degree in Computer Science, Data Engineering, Statistics, Informatics, Information Systems, or another quantitative field. - 5 to 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. - Fluent English (C1) Benefits: - Competitive salary. - Annual performance bonus. - Flexible weekly schedule. - Generous vacation days. - Prepaid medicine and life insurance. Work Environment: You will work in an amazing working environment, with great career opportunities, social responsibility activities, and fun month's end fridays.