Role overview

Data Engineer (w/MLOps)

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Requirements

  • 3-5 years of experience as a Data Engineer / MLOps Engineer
  • Hands-on expertise with GCP (BigQuery focus) and modern data architectures
  • Proficiency in Docker, Kubernetes, and CI/CD automation
  • Practical MLOps knowledge covering model lifecycle management, packaging, deployment, and monitoring
  • Fluency in English B2/C1 + Portuguese (Fluent)
  • Availability for a hybrid model (based in Lisbon, Portugal)
  • Candidate has to be based in Portugal with Portuguese or EU citizenship, or a valid work permit

Benefits

  • Welcome kit
  • Career progression opportunities
  • Health insurance
  • Coverflex meal card
  • Other protocols and special discounts
Similar roles

Keep a backup shortlist.

Browse stack
FocusData EngineerRole area
Seniority signalMiddleCandidate level
StackCI/CD, Docker, GCPPrimary skills
Location38 accepted countriesEligibility

Stack

Use these tags to compare similar remote roles.

Location eligibility

Candidates should apply only when their profile country is listed here.

Hiring flow

WithMira shows the role, then sends candidates to the company application.

1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.
Apply on company siteCompany siteOpen link