Data Engineer - Pharma Industry

About the position

Can you imagine contributing to advanced clinical data platforms enabling AI-driven research insights?

Join our expert team to work on a pharma & clinical data domain, contributing to the development of scalable data pipelines and integrations. You will apply your knowledge of Python, SQL and cloud-native environments, helping to enable advanced analytics and AI use cases. You will help transform complex data into actionable insights for research and innovation.

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

Solid experience with Python or PySpark and SQL for data processing

Hands-on experience with AWS services such as Lambda, Glue and S3

Experience working with modern cloud data warehouses such as Snowflake or Amazon Redshift

Familiarity with dbt is a strong plus

Experience with Azure or GCP is also valued

Familiarity with CI/CD, Git workflows and production monitoring

You will be responsible for designing and maintaining scalable data pipelines and integrations in cloud environments. Working with distributed systems and container platforms to ensure reliable data processing. Supporting AI and analytics initiatives by providing high-quality structured data. Collaborating with cross-functional teams and continuously improving automation and performance.

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.

Our working model ‍

We ask you to be available for key meetings. Need to leave for a doctor’s appointment or to pick up your child from school? No problem. 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 office!

You will also enjoy:

We cover your certifications and reward technical achievements up to €1,500.

Private health insurance.

Full coverage for sick leave

️ Free emotional, legal, and family support.

️‍ ️ Gym discounts or sports compensation.

Flexible remuneration: meals, transport, childcare, etc.

Referral bonuses: up to €6,000 per candidate and €5,000 per client.

23 working days of vacation.

️ Free language courses: English, Spanish, Catalan and German.

And the salary?

We will discuss it during the first call. If it is important to you, feel free to ask!