Senior Data Engineer With Mlops

buscojobs España; Sevilla; A distancia; EUR 45.000 - 60.000; Jornada completa

Descripción de la vacante

Service Club recherche un spécialiste en données pour construire et maintenir une plateforme modulaire. Vous serez responsable de l'intégration des pipelines de données, du déploiement de modèles ML et de la supervision de l'orchestration des workflows. L'environnement de travail est international, avec des opportunités de croissance de carrière et un fonctionnement à distance depuis l'Espagne.

Servicios

Environnement de travail international

Télétravail depuis l'Espagne

Journée de congé supplémentaire pour votre anniversaire

Café, thé et boissons gratuits

Opportunités de croissance de carrière

Formación

• Expérience en construction de pipelines de données et déploiement de modèles ML.
• Compétences en MLOps et en automatisation des pratiques.

Responsabilidades

• Conception et développement de pipelines de données pour l'intégration d'informations.
• Automatisation du cycle de vie des modèles de machine learning.

Conocimientos

PostgreSQL

MySQL

Snowflake

BigQuery

MLOps

Kubernetes

Microservices

REST

Docker

Terraform

Descripción del empleo

Join Service Club as we transition into a knowledge and data intelligence company, empowering drivers and the industries that rely on them. You will be pivotal in building and scaling our modular platform, supporting multiple independent verticals, and 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:

• Design and Development of Data Pipelines: Build and maintain data pipelines that integrate information across internal products, ensuring consistency, scalability, and availability for analytics and product features.
• Automation of the Machine Learning Lifecycle: Develop automated pipelines to train, validate, and deploy machine learning models, ensuring their long-term reliability and maintainability.
• 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.
• Model Deployment and Monitoring in Production: Deploy machine learning models into production environments, monitor their performance, and ensure stability, accuracy, and alignment with business goals.
• Data and Model Governance, Quality, and Security: Ensure traceability, security, and quality of data and models using best practices in versioning, access control, and regulatory compliance.
• Collaboration: Work closely with product management, design, backend, and data teams to create user-centric solutions.
• Mentorship: Guide junior and mid-level engineers, 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

Desired Attributes:

• Agile, DDD, SOLID Problem-Solving: Strong analytical skills to tackle complex challenges.
• Collaboration: Excellent communication skills for cross-functional teamwork.

What We Offer:

• International work environment with a diverse team of 15+ nationalities.
• Remote work from Spain.
• Extra day off on your birthday.
• Free coffee, tea, and drinks.
• Career growth opportunities within Service Club.

Our Process:

1. Screening call with the TA team for cultural and technical introduction.
2. Technical interview with the engineering team to discuss your experience and future vision.
3. Optional in-person meeting if in the area.

At Service Club, we value talent and 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!