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 / Ventajas

- 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 - pyspark & aws - pharma (Barcelona)
🏢 Erni
📍 Barcelona