Data Engineer & Analytics - Azure - Healthcare

1500 €/mensuales

ERNI Spain

Can you imagine building a greenfield data platform that enables near real-time analytics in the healthcare sector?

Join our expert team to work on a Healthcare Data Platform, contributing to the design and implementation of scalable end-to-end data solutions. You will apply your knowledge of Databricks, PySpark, SQL and Azure technologies to build modern data pipelines, analytical data models and business-facing data products. The platform combines both near real-time and batch processing, transforming raw data into actionable insights through dashboards, reporting solutions and analytics applications.

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
• Strong experience building cloud-based data solutions, ideally on Azure.
• Hands-on expertise with Databricks, Spark/PySpark and SQL.
• Experience designing analytical data models and delivering business-facing data products.
• Strong experience with dashboards and reporting tools such as Power BI, Tableau, Looker or similar.
• Experience with event-driven architectures and near real-time data processing.
• Ability to work across the full data lifecycle: ingestion, transformation, modeling and visualization.

You will be responsible for designing, developing and evolving end-to-end data solutions, from ingestion and transformation to analytics and visualization. You will collaborate closely with business stakeholders to translate requirements into dashboards, reporting solutions and data products that deliver real business value. Additionally, you will contribute to architecture decisions in a greenfield environment and promote best practices in data engineering, observability, governance and delivery.

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!