HAYS is collaborating with the leading company in the pharmaceutical sector, TOP 10 pharma. They create innovative medicines for people and animals, adding value through innovation for all three business areas: human pharmaceuticals, animal health, and contract manufacturing of biopharmaceuticals. Now they are growing in animal area too, it was created 3 years ago.

Our client is forming a technological hub that will serve the entire group internationally. It is growing and has more than 500 specialists. This hub is located in San Cugat del Vallés.

We are looking for a Data Engineer to support our Regulatory Affairs and Quality Medicine data domains, contributing to the development and maintenance of scalable data pipelines and integrations across SnapLogic, AWS and Snowflake environments.

You will work closely with cross-functional teams to design, build and operate reliable data solutions, ensuring data quality, scalability and performance throughout the full data lifecycle. The role combines hands-on data engineering with cloud technologies, data governance principles and continuous improvement of data processes.

What will your duties be?

- Design, build and maintain scalable data pipelines and integrations in cloud-based environments.
- Develop data transformation and processing solutions using Python/PySpark and SQL.
- Work with Snowflake for data ingestion, data modeling, data warehousing and performance optimization.
- Support integrations and data processing using AWS services, particularly S3, Lambda and Glue.
- Apply ETL/ELT architecture and data modeling principles to develop reliable and maintainable data solutions.




- Use Git and follow coding standards, version control practices and software engineering best practices.
- Contribute to CI/CD processes, automated testing, production monitoring and troubleshooting.
- Support data governance practices related to data lineage, cataloging, stewardship and data quality.
- Collaborate with technical and business stakeholders throughout the complete delivery cycle, from requirements gathering through deployment, monitoring and production support.
- Continuously identify opportunities for automation, optimization and improvement of data processes.

Which are the requirements?

- Bachelor’s or Master’s degree in Computer Science, Engineering, Data/Information Systems, or a related discipline.
- Professional experience in Data Engineering, Analytics Engineering, or a similar data-focused position.
- Strong programming skills in Python/PySpark and SQL, including data transformation and optimization.
- Solid understanding of data pipeline architecture, ETL/ELT and data modeling.
- Hands-on experience designing, building and maintaining data pipelines in cloud environments.
- Experience working with Snowflake, particularly data modeling, warehousing, ingestion, pipeline management and performance optimization.




- Knowledge of Git/version control and good software development practices.
- Familiarity with CI/CD, automated testing, monitoring and containerized environments.
- Understanding of data governance concepts, including lineage, cataloging, stewardship and data quality.
- Ability to troubleshoot and operate data solutions in distributed and containerized environments.
- Excellent communication skills in English, both written and verbal. Spanish is considered a strong plus.
- Proactive and collaborative mindset, with a focus on continuous improvement, automation and innovation.

Nice to have

- Practical experience with AWS, particularly S3, Lambda and Glue, in production environments.
- Experience with SnapLogic or other Integration Platform as a Service (iPaaS) solutions.
- Exposure to metadata management and data governance platforms such as Collibra or similar tools.
- Experience working in agile or fast-paced environments and collaborating with cross-functional teams.
- Previous experience taking ownership of end-to-end data delivery, from requirements gathering through deployment and production support.

What we offer?

- Long term contract with Hays.
- Participate in international projects.
- Flexible remote work model (1 office day per month). Location: Barcelona.
- Versátil Schedule: Monday to Friday from 8-9 to 5-6.

We’re looking for people like you – passionate about technology and interested in the pharmaceutical sector! If you’re considering new projects, apply for this role so we can tell you more!

📌 Data Engineer_PHARMA-ENGLISH (Barcelona)
🏢 Hays
📍 Barcelona