Overview In this role you design and implement scalable data pipelines for the pharmaceutical sector, turning complex legacy data into reliable, accessible information. You will work within a cross-functional team to automate extraction, transformation, and loading processes, leveraging PySpark and AWS to improve data quality and performance. You’ll collaborate with business stakeholders and senior colleagues, contributing to a culture of continuous learning and mentoring. This position offers hands-on impact by shaping data solutions that support regulatory and business needs in a dynamic environment. Compensaciones / Incentivos * Certification coverage up to 1500 * Private health insurance * Full coverage for sick leave * Free emotional, legal, and family support * Gym discounts or sports compensation * Flexible remuneration: meals, transport, childcare Responsabilidades * Develop,



maintain and improve ETL pipelines * Enhance parsing logic and data extraction from legacy systems * Automate data transformation and reduce manual interventions * Apply PySpark for data processing and transformation * Leverage AWS data services (S3, Glue) for data workflows * Ensure data quality, security, and performance optimization * Translate business requirements into technical data solutions * Collaborate with technical teams and business stakeholders to deliver reliable data solutions Requisitos principales * Hands-on experience in Data Engineering and ETL pipelines * Strong PySpark proficiency * Hands-on experience with AWS services such as S3 and Glue * Knowledge of data quality, data integration, security and performance optimization * Ability to understand, maintain and enhance existing code and data processing solutions * Strong communication skills and fluent English * Strong communication * Team collaboration * Proactive problem solving * PySpark * AWS S3 * AWS Glue

📌 Data Engineer (Barcelona)
🏢 Erni
📍 Barcelona