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 / Beneficios • 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 • adaptable remuneration

📌 Data Engineer (Barcelona)
🏢 Erni
📍 Barcelona