Senior Data Engineer with MLOps

Service Club; Elche; A distancia; EUR 35.000 - 60.000; Jornada completa

Descripción de la vacante

Service Club is transitioning into a data intelligence company, looking for a Data Engineer with MLOps expertise. This position involves designing data pipelines, automating the machine learning lifecycles, and ensuring data quality and governance. You will work in a diverse team, enhancing the delivery and mobility sector while enjoying remote work flexibility and growth opportunities.

Servicios

International work environment with 15+ nationalities

Remote work from Spain

Extra day off for your birthday

Free coffee and drinks

Career growth opportunities

Formación

• Strong analytical and problem-solving skills.
• Ability to collaborate effectively in cross-functional teams.
• Excellent communication skills.

Responsabilidades

• Design, build, and maintain data pipelines for analytics.
• Automate the machine learning lifecycle and deploy models into production.
• Ensure data governance and quality throughout the product ecosystem.
• Mentor junior engineers and foster a culture of continuous learning.

Conocimientos

PostgreSQL

MySQL

Snowflake

BigQuery

MLOps

Kubernetes

Microservices

REST

AWS

Docker

Terraform

CI/CD

Prometheus

Grafana

GitOps

Descripción del empleo

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 be pivotal in building and scaling our modular platform, which supports multiple independent verticals while ensuring a seamless client experience and scalable operations, revolutionizing the delivery and mobility sector. If you are passionate about creating robust and scalable solutions and thrive in a fast-paced environment, we encourage you to apply.

Key Responsibilities :

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. Workflow Orchestration and Product Integration : Implement data and model workflows that 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.
6. Collaboration : Work closely with product management, design, backend, and data roles to create user-centric solutions.
7. Mentorship : Guide junior and mid-level engineers through their development journey while fostering a culture of continuous learning and growth.

Technical Skills : PostgreSQL, MySQL, Snowflake, BigQuery, MLOps, Kubernetes, Microservices, REST, OpenAPI, AWS, Docker, Containers, Terraform, CI/CD, Prometheus, Grafana, IaC, GitOps, Zero Trust, Automation.

Practices : Agile, DDD, SOLID, strong analytical skills, problem-solving, collaboration, excellent communication skills for cross-functional teamwork.

What we offer : International work environment with 15+ nationalities, remote work from Spain, extra day off for your birthday, free coffee and drinks, career growth opportunities.

Our hiring process includes a screening call, a technical interview, and an optional in-person meeting. At Service Club, we are committed to equal opportunity employment. If you want to be part of a fast-growing company and leave your mark in the world of workforce mobility, apply now and help us build the future of the delivery tech ecosystem!