Data Engineer - AWS | Teletrabajo

We are looking for a Senior Data Engineer with MLOps to join Service Club as we transition into a knowledge and data intelligence company, empowering drivers and the industries that rely on them. You’ll play a pivotal role in building and scaling our modular platform, which supports multiple independent verticals while ensuring a seamless client experience and scalable operations.

Service Club is evolving into a knowledge and data intelligence company. Our platform, designed as a modular system with independent verticals (Academy, Jobs, and more), is interconnected through a shared intelligence layer, embodying principles of scalability, flexibility, and customer-centric design. As a Data Engineer with MLOps, you will be crucial in:

1. Design and Development of Data Pipelines: Design, build, and maintain data pipelines that integrate information across internal products, ensuring consistency, scalability, and availability for analytics and product features.
2. Automation of the Machine Learning Lifecycle: Develop automated pipelines to train, validate, and deploy machine learning models that enhance product capabilities, ensuring their long-term reliability and maintainability.
3. Implement data and model workflows: Enable seamless communication between products, supporting interoperability and shared access to core services and intelligence.
4. Model Deployment and Monitoring in Production: Deploy machine learning models into production environments across products, continuously monitor their performance, and ensure they remain stable, accurate, and aligned with business goals.
5. Data and Model Governance, Quality, and Security: Ensure end-to-end traceability, security, and quality of data and models in production by applying best practices in versioning, access control, and regulatory compliance across the product ecosystem.

Collaboration: Work closely with product management, design, backend, and data teams to create user-centric solutions.

Guide junior and mid-level engineers through their development journey while fostering a culture of continuous learning and growth.

MLOps Tools: MLflow, TensorFlow, PyTorch, Scikit-learn.

Cloud and Infrastructure Expertise: Kubernetes, Microservices, REST, OpenAPI, AWS, Docker, Containers, Terraform, CI/CD, Prometheus, Grafana, IaC, GitOps, Zero Trust, Automation.

Methodologies: Agile, DDD, SOLID principles.

Remote work from Spain!

Perks include an extra day off for your birthday, free coffee, tea, and drinks, and an engaging, personal hiring process involving a cultural and technical introduction, with options for in-person or online meetings.