Senior Data Engineer With Mlops

buscojobs España; Palencia; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Data Engineer focusing on MLOps. You will design and maintain data pipelines, automate machine learning workflows, and ensure data integrity and quality in a dynamic work environment. This role offers remote work flexibility and opportunities for professional growth.

Servicios

International work environment

Extra day off for birthday

Career growth opportunities

Free coffee, tea, and drinks

Formación

• Experience in building and maintaining data pipelines.
• Knowledge of MLOps practices and tools.
• Strong problem-solving capabilities and teamwork.

Responsabilidades

• Design and maintain scalable data pipelines.
• Automate the ML lifecycle for product integration.
• Ensure data quality and governance.

Conocimientos

PostgreSQL

MySQL

MLOps tools and practices

Strong analytical skills

Excellent communication skills

Herramientas

Kubernetes

Docker

AWS

Terraform

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 tools and practices
• Familiar with Kubernetes, Microservices, REST, OpenAPI, AWS, Docker, Containers, Terraform, CI / CD, Prometheus, Grafana, IaC, GitOps, Zero Trust, Automation

Practices :

• Agile, DDD, SOLID Problem-Solving

Soft Skills :

• Strong analytical skills to tackle complex technical challenges
• Excellent communication skills for cross-functional teamwork

What we offer :

• International work environment – Join a diverse team of 15+ nationalities
• Remote work from Spain
• Extra day off – Celebrate your birthday with a paid day off
• Free coffee, tea, and drinks
• Career growth opportunities – A chance to grow and make an impact within Service Club

We do things differently—we want to truly understand your talent. Our process is agile, engaging, and personal :

• Screening call with the TA team
• Technical interview with the engineering team
• Meet us in person (optional)

If you’re in the area, drop by our office! Otherwise, we’ll meet online.

At Service Club, talent comes first. We are committed to equal opportunity employment, regardless of race, color, religion, gender, sexual orientation, age, gender identity, or disability. 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!