Senior Data Engineer - MedTech Industry
Senior Data Engineer - MedTech Industry
Original Advert
Can you imagine building a Data Platform from scratch that enables near real-time healthcare analytics? ππ©Ί
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? π€
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 π€
β’ Strong experience building cloud data platforms on Microsoft Azure.
β’ Hands-on experience with Databricks, Spark/PySpark and SQL.
β’ Experience designing event-driven and near real-time data solutions.
β’ Experience integrating APIs, streaming sources or messaging platforms such as Solace.
β’ 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?π
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 π©π¬
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:
π We cover your certifications and reward technical achievements up to β¬1,500.
π₯ Private health insurance.
π― Full coverage for sick leave
π§βοΈ Free emotional, legal, and family support.
ποΈβοΈ Gym discounts or sports compensation.
π³ Flexible remuneration: meals, transport, childcare, etc.
π€ Referral bonuses: up to β¬6,000 per candidate and β¬5,000 per client.
π΄ 23 working days of vacation.
π£οΈ Free language courses: English, Spanish, Catalan and German.
And the salary? πΈ
We will discuss it during the first call. If it is important to you, feel free to ask! π¬
WOULD YOU LIKE TO BECOME AN ERNIan?