GCP Data Engineer - Lisboa - 12/10/26

Wafx; Lisboa; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Laptop provided

Job summary

A Wafx em Lisboa procura um engenheiro de dados de nível intermédio para trabalhar num modelo de dados Telco na cloud. O foco é projetar, construir e operacionalizar pipelines em produção com BigQuery e serviços GCP.

O candidato ideal tem pelo menos 4 anos de experiência em data engineering, conhecimento de ETL/ELT e familiaridade com Cloud Run, Cloud Composer e GCS. O regime é híbrido, com 60% remoto e 40% presencial.

Qualifications

• 4 anos de experiência em Data Engineering e Cloud Data Platforms.
• Experiência comprovada com serviços Google Cloud Platform.
• Experiência prática a desenhar, implementar e suportar pipelines de dados em produção.
• Experiência com implementação de modelos de dados, otimização de performance, testes, monitorização e suporte operacional.

Responsibilities

• Implantar e operacionalizar o Telco Data Model prototype no ambiente-alvo.
• Apoiar expansão de funcionalidades e integração na plataforma de dados.
• Projetar, desenvolver e otimizar pipelines de ingestão de dados para o BigQuery, com escalabilidade e alto desempenho.
• Implementar e manter workflows de orquestração com Google Cloud Composer (Airflow gerido).
• Realizar testes ao longo do ciclo de vida da plataforma de dados, incluindo ingestão bruta, dados curados, históricos e serving/consumption.
• Monitorizar a saúde e o desempenho da plataforma usando Google Cloud Logging e alertas.
• Resolver problemas de processamento de dados, orquestração e infra‑estrutura de dados.
• Colaborar com stakeholders, arquitetos e equipas de desenvolvimento para garantir entregas bem-sucedidas e estabilidade operacional.

Skills

ETL/ELT processes

Data modeling

Performance tuning

Agile environments

Tools

Google BigQuery

Google Cloud Run

Google Cloud Storage

Google Cloud Composer

Google Cloud Logging

CI/CD

Job description

Country

PT Portugal

Location

Lisboa - 60% Remote and 40% Presential

Mid-level

Work type

Hybrid

Imediato

1 year

Laptop provided

Yes

Requirements and qualifications

• Experience
• 4 years of experience in Data Engineering and Cloud Data Platforms.
• Proven experience working with Google Cloud Platform (GCP) services.
• Hands-on experience designing, deploying, and supporting data pipelines in production environments.
• Experience with data model implementation, performance optimization, testing, monitoring, and operational support.
• Key Responsibilities
• Deploy and operationalize the Telco Data Model prototype in the target environment.
• Support feature expansion and integration activities across the data platform.
• Design, develop, and optimize data ingestion pipelines into BigQuery, ensuring scalability and performance.
• Implement and maintain orchestration workflows using Google Cloud Composer (Managed Airflow).
• Perform testing activities across the data platform lifecycle, including raw ingestion, curated, historical, and serving/consumption layers.
• Monitor platform health and performance using Google Cloud Logging and alerting capabilities.
• Troubleshoot and resolve data processing, orchestration, and platform-related issues.
• Collaborate with stakeholders, architects, and development teams to ensure successful delivery and operational stability.
• Mandatory Skills
• Strong experience with Google BigQuery.
• Experience developing and optimizing Cloud Run services for data ingestion into BigQuery.
• Hands-on experience with Google Cloud Storage (GCS).
• Experience with Google Cloud Composer (Managed Airflow) for workflow orchestration.
• Knowledge of Google Cloud Logging and Alerting.
• Experience testing and validating data pipelines across the data platform lifecycle, including raw ingestion, curated, historical, and serving/consumption layers.
• Strong understanding of data engineering best practices, ETL/ELT processes, and performance tuning.
• Nice to Have
• Experience in the Telecommunications industry and Telco data models.
• Knowledge of data governance and data quality frameworks.
• Experience with CI/CD pipelines and Infrastructure as Code (IaC).
• Familiarity with event-driven architectures and real-time data processing.
• Experience working in agile environments and cross-functional teams.