Experteer 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 / Beneficios - 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 solutionsResponsabilidades - 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 EnglishRequisitos principales - Certification coverage up to 1500 - Private health insurance - Full coverage for sick leave - Free emotional, legal, and family support - Gym discounts or sports compensation - Versátil remuneration: meals, transport, childcare

📌 Data Engineer - Pyspark & Aws - Pharma (Barcelona)
🏢 Erni
📍 Barcelona