Experteer Overview
In this role you will design, build, and optimize scalable data pipelines and cloud-based data platforms to support pharmaceutical data needs. You will collaborate with cross-functional teams and mentors to deliver high-quality, secure, and performant data solutions on AWS and related technologies. The position offers a strong growth culture with ongoing learning, mentoring, and hands-on experimentation. This opportunity lets you shape data-driven capabilities in a supportive, team-oriented environment.

Compensaciones / Ventajas
• Design, develop, and optimize scalable ETL pipelines on cloud platforms
• Ensure data quality, security, and performance across data flows
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Implement infrastructure as code and troubleshoot data-related issues
• Leverage tools like Databricks and Snowflake alongside AWS services




• Contribute to continuous improvements in data engineering practices

Responsabilidades
• Proven experience in data engineering with scalable ETL pipelines
• Proficiency in Python, Java, or Scala
• Familiarity with big data technologies such as Spark or Hadoop
• Hands-on experience with AWS data services (S3, Glue, Athena, Redshift)
• Knowledge of data quality, data integration, security and performance optimization
• Strong communication skills and fluent English
• Ability to translate business requirements into technical data solutions
• Experience with Databricks and Snowflake is a plus

Requisitos principales
• certifications covered
• private health insurance
• full sick leave
• emotional, legal and family support
• gym discounts
• flexible remuneration

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