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Senior Data Platform & MLOps Engineer EMEA - Madrid at Boston Scientific Corporation Malaysia

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Platforms, Python, SQL, Distributed Frameworks, Infrastructure-as-Code, CI/CD Pipelines, Containerized Environments, MLOps Pipelines, Security, Observability, Compliance, Collaboration, Coaching, Data Lakes, Data Warehouses, Streaming Systems, Orchestration Layers

Industry

Medical Equipment Manufacturing

Description

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. 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.

Responsibilities

You will build and manage cloud data platforms and design MLOps pipelines covering the full lifecycle. Your work will ensure that data and AI are operational across EMEA while maintaining security and compliance.