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 (Barcelona)
🏢 Erni
📍 Barcelona