Data Engineer

Data Engineer

Responsible for developing, maintaining, and evaluating big data solutions across functional and process content areas. Uses data management best practices and innovative, fit‑for‑purpose technologies to build stable, flexible, high‑performing data & analytics products that help reduce the lead time from data collection to insight generation. Assembles large, complex data sets (e.g. text, time series, imagery) into a useful format for analysis using fit‑for‑purpose database technologies and designs, builds and orchestrates ETL pipelines.

• Develop and maintain digital solutions, including applications, dashboards, and automation solutions to support site operations data management.
• Support Production Engineers and Site Teams to identify operational information and data lucidity by implementing digital solutions that enable non‑value‑added activity eliminations.
• Integrate and manage operational data from multiple functions to improve visibility, reporting, and decision‑making.
• Support operational excellence initiatives through data analysis, process digitalization, and performance tracking.
• Drive the adoption of digital tools by providing user support, training, and recommendations.
• Ensure digital solutions are sustainable, standardized and aligned with business and site priorities.
• Collaborate across sites and functions to replicate best practices and support the digital transformation roadmap.
• Continuously evaluate, enhance, and evolve digital solutions to ensure scalability, user adoption, operational relevance, and alignment with changing business needs and site strategies.
• Maintain a reliable operational data ecosystem, ensuring data integrity, accessibility, governance, and continuous availability of critical site information to support business performance and decision‑making.