Data Engineer / MLOps Engineer

Role description and responsibilities
At WE ARE META, we focus on finding the perfect match between our consultants (Rhinos) and our clients. As a consultant, you'll have access to a network of national and international partners across diverse sectors of the tech industry. Our recruiters work to find the best position for you in terms of working policy and company culture, while our career coach ensures all your needs are met so you can excel in your professional life.

Requirements

• 3–5 years of experience as a Data Engineer / MLOps Engineer

• Hands-on expertise with GCP (BigQuery focus) and modern data architectures (Lakehouse/Data Lake), including layered data modeling and pipeline design

• Proficiency in Docker, Kubernetes, and CI/CD automation (GitHub Actions or equivalent) for scalable, production-grade deployments

• Proven ability to build and maintain complex data pipelines (batch & streaming), API integrations, and Monorepo-structured codebases

• Practical MLOps knowledge covering model lifecycle management, packaging, deployment, and monitoring in production environments

• English proficiency at B2/C1 level and fluent Portuguese

• Availability for a hybrid model based in Lisbon, Portugal

• Must be based in Portugal with Portuguese or EU citizenship, or a valid work permit

Benefits & perks

• Welcome kit upon joining

• Opportunities for career progression

• Health insurance coverage

• Coverflex meal card

• Other protocols and special discounts

• Personalized support from a career coach

• Access to a network of national and international tech industry partners

• Flexibility in working policy (remote, hybrid, on-site) matched to your preferences

Source: Landing.jobs (https://landing.jobs/at/we-are-meta/data-engineer-mlops-engineer)