Data Engineer / MLOps Engineer

We are META - Lisbon, Portugal - original posting ->
Status
Open
Remote policy
Hybrid
Employment type
Not stated
Salary
Not stated
Source
landingjobs
First observed
2026-08-11 23:50 UTC
Last seen
2026-08-11 23:50 UTC
Source claims posted
2026-07-29 09:30 UTC
Consecutive misses
0 of 3

What the posting says

At We are META (Permanent / Contractor), in Lisbon, Portugal

Expires at: 2027-10-15

Remote policy: Partial remote

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

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #6913 2026-08-11 23:50 UTC
    Published