Can you imagine transforming complex pharmaceutical data into scalable and automated solutions? ð§ ️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.
Even if you work on an external project, you will feel part of the team and always supported.
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. 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 ðHands-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 GlueKnowledge 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 technical data solutions.
You will be responsible for enhancing and automating existing data extraction and transformation pipelines using PySpark and AWS, focusing on processing complex data from legacy systems. You will develop and improve parsing logic, automate the identification and structuring of data, reduce manual interventions and collaborate with technical teams and business stakeholders to deliver reliable, maintainable data solutions.
What if the project ends?We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.
We trust you to deliver quality work within your 40-hour workweek.
Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other’s faces; the best stories always happen in the officePrivate health insurance. Full coverage for sick leaveð§‍️ Free emotional, legal, and family support.
English, Spanish, Catalan and German.
We will discuss it during the first call. If it is important to you, feel free to ask

📌 Data Engineer (España)
🏢 Erni
📍 España