Senior Data Engineer - 26-262

Build and maintain scalable data manufacturing pipelines using Databricks, PySpark, and modern ETL patterns to integrate new energy and geoscience data sources. Standardize and consolidate data pipelines across large, overlapping datasets while incorporating LLM and GenAI technologies into extraction and transformation workflows, including AI-assisted well log digitization. Work independently to resolve complex technical challenges, mentor junior engineers, and define engineering standards for the team. This role focuses on owning the full lifecycle of data manufacturing from ingestion through delivery within a collaborative, fast-moving team that holds a high bar for code quality. You will engage with teammates to surface conflicting requirements and ensure your work aligns with the broader team picture. The team operates within Enverus's software hub in Brno, Czech Republic, developing solutions that maximize value from generative AI across the energy ecosystem.