Can you imagine transforming complex pharmaceutical data into scalable and automated solutions? ? ☁️
Join our expert team to work on solutions in the Pharma sector, focused on improving and automating data extraction and transformation processes from complex legacy systems. You will apply your knowledge of PySpark, AWS and data engineering to enhance existing data pipelines, automate manual processes and ensure that data is accurately structured and accessible for business needs.
At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.
How do we make this happen? ?
With people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months.
And the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently,



you will work on your development plan to define your short-, medium-, and long-term goals.
We strongly encourage growth and continuous training. Each person has an individual development plan, mentoring, and access to internal technical communities. We aim for you to learn, experiment, and evolve within an environment where teamwork and support from more senior colleagues are key.
What you will bring ?
• Hands-on experience in Data Engineering, including developing, maintaining and improving ETL pipelines.

• Strong proficiency in PySpark for data processing, extraction and transformation.

• Hands-on experience with AWS data 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, fluent English and the ability to translate business requirements into technic

📌 Data Engineer (Madrid)
🏢 ERNI Spain
📍 Madrid