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 / Incentivos • 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

Responsabilidades • 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

Requisitos 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 • Flexible remuneration: meals, transport, childcare

📌 Data Engineer - PySpark & AWS - Pharma (Barcelona)
🏢 Erni
📍 Barcelona