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Salary
≈ $31k – $74k per year (Estimated)
Location
In office (Lisbon)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Sep 24, 2026. Teamlyzer scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Teamlyzer is a Portuguese platform where IT professionals share independent reviews of what it is like to work at technology companies in Portugal. Users read and write anonymous company reviews and job interview experiences, helping developers compare employers, while the site also lists tech job offers. It focuses on the Portuguese IT market and aims to bring transparency to technology employers.

Sobre a vaga

We are seeking a highly qualified professional to join our team as an AI Data Engineer (with Google Cloud Platform). You will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and AI-driven use cases. We are looking for a professional with strong expertise in GCP, data engineering, and modern data architectures.

O que vais fazer

  • Design, develop, and maintain scalable data pipelines and data platforms on GCP
  • Build and optimize solutions using BigQuery and other Google Cloud data services
  • Develop and maintain data models that support business reporting, analytics, and operational processes
  • Ensure data quality, governance, security, and compliance standards are consistently applied
  • Collaborate with business and technical stakeholders to gather requirements and translate them into data solutions
  • Monitor and optimize data platform performance, reliability, and cost efficiency
  • Support the implementation of data engineering best practices across projects
  • Contribute to architecture decisions and provide technical guidance to project teams
  • Present technical recommendations and solutions to client stakeholders
  • Support AI and advanced analytics initiatives by preparing and managing high-quality datasets

O que é pedido

  • Strong hands-on experience with SQL and Python
  • Deep knowledge of Google Cloud Platform (GCP), with BigQuery expertise being mandatory
  • Minimum knowledge of Generative AI concepts (must have), including embeddings, RAG pipelines, Vertex AI SDK, prompt engineering, and function calling fundamentals
  • Proven track record delivering end-to-end data engineering projects
  • Strong experience in data modeling, data quality, and data governance best practices
  • Experience designing and implementing scalable data pipelines and data platforms
  • Strong understanding of ETL/ELT frameworks and modern data architectures
  • Client-facing experience with the ability to communicate technical concepts to non-technical stakeholders
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management abilities
  • Fluent in English (C1 or above)

Valorizado

  • Google Cloud Certifications such as Professional Data Engineer, Professional Cloud Architect, or equivalent
  • Experience with Azure or AWS is considered a plus

O que é oferecido

  • Opportunities to keep skills relevant through certifications, learning, and diverse work experiences

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

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