GCP Data Engineer — Cloud Data Pipelines & BI

Welvaart

Lisboa

On-site

EUR 42,000 - 65,000

Full time

6 days ago
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Job summary

Welvaart is seeking a Data Engineer to design, develop and optimize data platforms on Google Cloud Platform (GCP). You will build and refine data pipelines, enable data ingestion and orchestration, and collaborate with stakeholders to convert requirements into scalable data solutions.

You will work with SQL and Python to support BI and analytics initiatives, ensure data quality, and contribute to cloud-native architectures.

Qualifications

  • Minimum 3 years of experience with Google Cloud Platform technologies.
  • Strong experience in Data Engineering environments.
  • Experience delivering Data Engineering and/or Business Intelligence projects.
  • Ability to translate business requirements into technical data solutions.
  • Strong SQL knowledge.
  • Experience working with cloud-native data architectures.
  • Experience working directly with clients and stakeholders.

Responsibilities

  • Design, develop and maintain data platforms on Google Cloud Platform (GCP).
  • Build and optimize data pipelines and data integration processes.
  • Implement and maintain data ingestion, transformation and orchestration workflows.
  • Work with large datasets and support analytics and reporting initiatives.
  • Produce technical documentation and project deliverables.
  • Collaborate with business and technical stakeholders to understand requirements.

Skills

Google Cloud Platform (GCP)
SQL
Python
Data engineering
Data pipelines
BI / Business Intelligence
Cloud architecture
Client-facing
Documentation
Analytical thinking

Job description

Welvaart is seeking a Data Engineer to design, develop and optimize data platforms on Google Cloud Platform (GCP). You will build and refine data pipelines, enable data ingestion and orchestration, and collaborate with stakeholders to convert requirements into scalable data solutions.

You will work with SQL and Python to support BI and analytics initiatives, ensure data quality, and contribute to cloud-native architectures.

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