Data Engineer with Databricks

O projekcie: Project description: Design, build, and maintain scalable data platforms that transform complex, unstructured R&D data into reliable, structured, and analytics-ready assets. This role operates at the intersection of data engineering, scientific research, and digital innovation, offering a direct impact on how data is captured, structured, governed, and utilized across the client’s laboratories worldwide. Tech stack: - SQL  - Excel  - Python  - Microsoft Azure  - Azure Blob Storage  - Databricks  - Power Apps  - Power BI Wymagania: Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field  - ~3 years of progressive experience in data engineering, preferably in R&D, energy, chemical, or similar sectors  Proficiency: - SQL databases  - Excel  - Python coding  - Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Databricks)  - Hands-on experience with Microsoft Azure (including Azure Blob Storage and Databricks)  Nice to have: - Knowledge of Power Apps  - Power BI  - Web UI development skills Codzienne zadania: - Transform unstructured and semi-structured R&D data into standardized, governed, and analytics-ready data assets.  - Design, build, and operate scalable ETL/ELT pipelines, data lakes, and data warehouses with strong data quality, monitoring, and lineage.  - Modernize legacy data flows through APIs and integration patterns within the Microsoft Azure ecosystem (e.g., Databricks, Blob Storage).  - Optimize cloud infrastructure for performance, security, and cost efficiency while supporting enterprise data governance and compliance.  - Partner with Data Scientists, Analysts, R&D scientists, IT teams, and vendors to enable ML/AI use cases and smart laboratory initiatives.  - Identify siloed data sources and propose strategies to extract value through connectivity  - Collaborate with cross-functional teams to design, implement, and maintain web applications using the newly structured data.  - Contribute to Innovation Excellence standards, reusable components, and technical knowledge sharing across the whole company.