Data engineer

Welvaart; Lisboa; On-site; EUR 42,000 - 65,000; Full time

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

A Data Engineer role focused on designing, developing and optimizing data platforms and data pipelines within the Google Cloud Platform (GCP) ecosystem. The mission combines cloud-native data engineering, data integration, analytics and consulting, helping organizations transform data into actionable insights while leveraging modern cloud technologies and best practices.

• 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
• Develop SQL and Python solutions for Data Engineering and Business Intelligence projects
• Ensure data quality, consistency and reliability across the data lifecycle
• Collaborate with business and technical stakeholders to understand requirements and propose solutions
• Contribute to cloud architecture and data platform design decisions
• Support Business Intelligence and data analytics use cases
• Produce technical documentation and project deliverables
• Apply cloud and data engineering best practices
• Support continuous improvement and innovation initiatives
• Act as a consultant, providing guidance and recommendations to clients
• Stay up to date with emerging technologies, trends and cloud capabilities
• Minimum 3 years of experience with Google Cloud Platform technologies
• Strong experience in Data Engineering environments
• Experience designing and implementing cloud-based data solutions
• Strong SQL knowledge
• Experience delivering Data Engineering and/or Business Intelligence projects
• Experience working with cloud-native data architectures
• Ability to translate business requirements into technical data solutions
• Strong analytical and problem-solving capabilities
• Experience working directly with clients and stakeholders
• Strong documentation and organizational skills
• Customer-oriented mindset
• Ability to work collaboratively in multidisciplinary teams
• Be part of a tech start-up
• Different scopes of project in different sectors
• Structure of fairness and equity salary (Consultant Profile)