Data Engineer / MLOps Engineer
- 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
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#6913 2026-08-11 23:50 UTCPublished