OPERATIONS DATA ENGINEERING TRAINEE

We're building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters. The Operations Data Engineering Trainee will give support to developing and maintaining data pipelines and curated datasets that improve decision-making and operational efficiency across Industrial Operations. The role will contribute to improving operational efficiency and decision-making while building foundational capabilities in data engineering and analytics.

Responsibilities

Support the development, testing and documentation of data pipelines and curated datasets on Databricks; Clean, transform and prepare data from operational systems (SAP, manufacturing, serialization); Support data quality checks and documentation of datasets and workflows; Write code in repositories (git) following good coding practices; Support exploration of AI and Generative AI tools

Requirements

Bachelor's or Master's degree (or currently studying) in Data Engineering, Computer Science, Data Science, Engineering, Mathematics or a related field; Programming in Python; Solid SQL (queries, joins, aggregations); Understanding of data structures and data modeling concepts; Good coding practices: use of code repositories (git) and code documentation; Analytical mindset and attention to detail

Nice to have

Exposure to Databricks, Apache Spark and Delta Lake; Object-oriented Python (for framework-based pipeline development); Programming in PySpark (strong plus); Familiarity with Azure (Data Factory, Storage) and cloud data environments; Knowledge of data governance, data quality, master data management and data integrity in regulated industries; Familiarity with visualization / BI tools (Power BI) for data consumption; Interest in AI, Generative AI and digital transformation in manufacturing; Curiosity, problem-solving mindset, collaborative approach and good teamwork skills