Senior Data Engineer with MLOps

Service Club; Marbella; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A dynamic technology firm in Spain is seeking a Senior Data Engineer with MLOps expertise. The role involves creating scalable data solutions and deploying machine learning models. Candidates should have skills in PostgreSQL, TensorFlow, and Kubernetes. The company offers remote work opportunities, a diverse environment, and professional growth.

Servicios

Remote work opportunity

Paid day off for your birthday

Free coffee, tea, and drinks

Opportunities for career growth

Formación

• Experience with PostgreSQL, MySQL, Snowflake, and BigQuery.
• Proficient in MLOps tools such as MLflow, TensorFlow, and PyTorch.
• Knowledge of cloud technologies including AWS, Docker, and Kubernetes.

Responsabilidades

• Design and develop data pipelines for analytics.
• Automate the machine learning lifecycle.
• Deploy and monitor machine learning models in production.

Conocimientos

PostgreSQL

MySQL

Snowflake

BigQuery

MLflow

TensorFlow

PyTorch

Scikit-learn

Kubernetes

Microservices

REST

OpenAPI

AWS

Docker

Terraform

CI/CD

Prometheus

Grafana

GitOps

Zero Trust Security

Descripción del empleo

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 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:

• Design and develop data pipelines that integrate information across internal products, ensuring consistency, scalability, and availability for analytics and product features.
• Automate the machine learning lifecycle by developing pipelines to train, validate, and deploy models, ensuring their reliability and maintainability.
• Implement data and model workflows to enable seamless communication between products, supporting interoperability and shared access to core services and intelligence.
• Deploy machine learning models into production, monitor their performance, and ensure stability, accuracy, and alignment with business goals.
• Ensure data and model governance, quality, and security through best practices in versioning, access control, and compliance.
• Collaborate with product management, design, backend, and data teams to create user-centric solutions.
• Mentor junior and mid-level engineers, fostering a culture of continuous learning and growth.

Must Have:

• Databases: PostgreSQL, MySQL, Snowflake, BigQuery
• MLOps Tools: MLflow, TensorFlow, PyTorch, Scikit-learn
• Cloud & DevOps: Kubernetes, Microservices, REST, OpenAPI, AWS, Docker, Containers, Terraform, CI/CD, Prometheus, Grafana, IaC, GitOps, Zero Trust Security
• Practices: Agile, DDD, SOLID principles
• Problem-Solving Skills: Strong analytical abilities for complex challenges
• Communication & Collaboration: Excellent teamwork and communication skills

What we offer:

• International environment with 15+ nationalities
• Remote work opportunity from Spain
• Paid day off for your birthday
• Free coffee, tea, and drinks
• Opportunities for career growth and impact within Service Club

Our process is agile, engaging, and personal:

• Screening call with TA: Cultural and technical intro
• Technical interview with engineering team: Deep dive into experience and vision
• Optional in-person visit or online meeting

At Service Club, we prioritize talent and are committed to equal opportunity employment regardless of race, gender, or background. Join us to shape the future of workforce mobility!