Senior Data & Analytics Engineer - Healthcare

ERNI

Barcelona

Presencial

EUR 70.000 - 110.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Certifications reimbursement up to €1,

Private health insurance

Full sick leave coverage

Emotional, legal and family support

Gym discounts

Flexible remuneration: meals, transit,

Referral bonuses up to €6,000 per cand

Referral bonuses up to €5,000 per clie

23 working days of vacation

Free language courses: English,Spanish

Descripción de la vacante

ERNI is building a data platform from scratch to enable near real-time healthcare analytics. You will design scalable solutions using Databricks, Azure Data Factory and PySpark, shaping architecture for a greenfield cloud platform on Azure.

The role emphasizes hands-on delivery, mentoring, and engineering excellence within a hybrid working model. You will work with APIs, streaming data, and event-driven patterns, collaborating across teams to ensure scalable, secure data solutions and robust

Formación

Strong experience building cloud data platforms on Microsoft Azure.
Hands-on experience with Databricks, Spark/PySpark and SQL.
Experience designing event-driven and near real-time data solutions.
Experience integrating APIs, streaming sources or messaging platforms such as Solace.
Strong engineering mindset with CI/CD, testing, monitoring, governance and documentation.

Responsabilidades

Design and implement scalable cloud data pipelines using Databricks, Azure Data Factory and PySpark.
Participate in architecture definition of a greenfield platform.
Integrate data from APIs and connected devices, develop near real-time analytics solutions.
Collaborate with multidisciplinary teams and promote engineering best practices focused on scalability, governance and security.

Conocimientos

Databricks

PySpark

SQL

Event-driven design

CI/CD

Documentation

Governance

Monitoring

Herramientas

Azure Data Factory

Spark

Solace

Descripción del empleo

Can you imagine building a Data Platform from scratch that enables near real-time healthcare analytics?

Join our expert team to work on a MedTech project, contributing to the development of an end-to-end cloud data platform that enables near real-time analytics and business insights. You will apply your knowledge of Databricks, Azure Data Factory, PySpark and event-driven architectures to design scalable data solutions while participating in technical decisions from the very beginning.

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.

At ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts.

And if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart.

What You Will Bring

Strong experience building cloud data platforms on Microsoft Azure.
Hands-on experience with Databricks, Spark/PySpark and SQL.
Experience designing event-driven and near real-time data solutions.
Experience integrating APIs, streaming sources or messaging platforms such as Solace.
Strong engineering mindset with CI/CD, testing, monitoring, governance and documentation.

You will be responsible for designing and implementing scalable cloud data pipelines using Databricks, Azure Data Factory and PySpark while participating in the architecture definition of a greenfield platform. You will integrate data from APIs and connected devices, develop near real-time analytical solutions, collaborate with multidisciplinary teams and promote engineering best practices focused on scalability, governance and security.

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!