Data Engineering - AWS - Pharma Enterprise Data

ERNI Spain · Barcelona, Spain

No Spanish requiredPosted 4 days ago

You apply on the site where the job is posted. I never handle applications.

Would you like to build modern data solutions that power business insights?? ️

Join our expert team to work on an international data platform, contributing to the development of scalable data pipelines and modern reporting solutions. You will apply your knowledge of AWS, DBT, and Snowflake to transform and integrate data that supports analytics and business decision making.

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

Experience as a Software Engineer with exposure to Data Engineering projects.
Hands-on experience building and maintaining data pipelines using AWS.
Experience with DBT, Snowflake and data transformation processes.
Knowledge of SnapLogic and data integration solutions.
Experience connecting analytical data to Power BI or similar reporting platforms is a plus.

You will be responsible for developing and maintaining scalable data pipelines while integrating and transforming information for reporting and analytics. Working with AWS-based environments, DBT, Snowflake and SnapLogic to build reliable data solutions and collaborating with the team to deliver high-quality data products.

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!