Senior Data Platform & MLOps Engineer EMEA - Madrid

Boston Scientific; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global medical technology company is seeking a Senior Data Platform & MLOps Engineer in Madrid to build and manage cloud data platforms. This role involves designing MLOps pipelines and collaborating with various teams to enhance analytics and AI capabilities. Candidates should have 5-8 years of experience with cloud platforms and MLOps. A degree in a relevant field is required. Join us to make a significant impact on healthcare through innovative data solutions.

Formación

• 5–8+ years in data, platform, or MLOps engineering.
• Hands-on experience with cloud platforms, Python, and SQ.
• Proven experience building and operating MLOps pipelines.

Responsabilidades

• Build and manage cloud data platforms.
• Design and maintain MLOps pipelines.
• Embed security and compliance into every layer.
• Collaborate globally to deliver reusable infrastructure.
• Coach teams on best practices.

Conocimientos

Cloud platforms (AWS, Snowflake)

Python

SQL

Distributed frameworks (Spark/EMR)

Infrastructure-as-code (Terraform)

CI/CD pipelines

Containerized environments (Docker/Kubernetes)

MLOps pipelines (SageMaker, MLflow, Kubeflow, Vertex AI)

Strong communication skills

Educación

Degree in Computer Science, Engineering, or related field

Descripción del empleo

Additional Locations: France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Senior Data Platform & MLOps Engineer – EMEA

Location: Paris, Milan, Düsseldorf, Hemel Hempstead, or Madrid (Hybrid)

Salary: Depending on experience and location; details shared during the first interview

At Boston Scientific, data drives decisions and decisions change lives. We’re building the next-generation data and AI platforms across EMEA, and we need a Senior Data Platform & MLOps Engineer to help us make it happen. This is a chance to design the backbone that powers analytics, automation, and machine learning across a global organization, impacting how we deliver insights, run operations, and ultimately improve patient care.

Your role in Data & AI

In this hands‑on, collaborative role, you’ll design, build, and operate cloud-based data platforms and MLOps pipelines. You’ll work with data engineers, AI teams, architects, and product managers to create secure, scalable, and reusable services that allow analytics and AI teams to move fast without compromising governance or compliance. From ingestion and orchestration to monitoring, model deployment, and retraining, your work will make data and AI truly operational across EMEA.

What you will do

• Build and manage cloud data platforms, including data lakes, warehouses, streaming systems, and orchestration layers.
• Design and maintain MLOps pipelines covering the full lifecycle: experimentation, training, deployment, monitoring, and retraining.
• Embed security, observability, and compliance (e.g., GDPR) into every layer.
• Collaborate globally to deliver reusable infrastructure, templates, and standards.
• Coach teams on best practices, enabling them to leverage platforms and accelerate AI delivery.

Who we are looking for

• 5–8+ years in data, platform, or MLOps engineering, with a degree in Computer Science, Engineering, or related field.
• Hands‑on experience with cloud platforms (AWS, Snowflake; Azure a plus), Python, SQL, and distributed frameworks (Spark/EMR).
• Expertise in infrastructure-as-code (Terraform), CI/CD pipelines, and containerized/orchestrated environments (Docker/Kubernetes).
• Proven experience building and operating MLOps pipelines (SageMaker, MLflow, Kubeflow, or Vertex AI).
• Strong communicator, able to collaborate across technical and non‑technical teams.

Why this matters

This is a greenfield transformation. The systems you build will power analytics, AI, and connected digital products across EMEA. You’ll have the opportunity to shape architecture, define standards, and enable teams to innovate faster, all while making a tangible impact on patient outcomes.

Why join us

Join a collaborative, global engineering community where your ideas, skills, and innovations will make a difference. You’ll have ownership, growth opportunities, and the chance to see your work directly support better healthcare.

Interview process

Start with a conversation with a recruiter, followed by an interview with the hiring manager and a technical interview.

If building secure, scalable, and high‑impact data platforms excites you, we want to hear from you.

Requisition ID: 617985

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem‑solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!