Data Engineer - Remote-Friendly with Growth & AI Pipelines

Xgeeks; Lisboa; Presencial; EUR 42 000 - 68 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote-friendly culture

Flexible benefits

Great equipment

Resumo da oferta

synvert, a GlobalLogic company, is building data-driven AI solutions with a global team across Portugal, including offices in Lisbon, Leiria and Viseu. The Data Engineer will shape data pipelines and warehouses to enable insights for internal and external clients.

You will collaborate with cloud, data and product experts to translate needs into scalable data architectures, leveraging modern tools and best practices in a dynamic environment.

Qualificações

• 2+ years of experience in Data Engineer, DWH developer, BI Engineer, or related roles.
• Basic understanding of cloud infrastructure.
• Strong SQL skills and data modelling experience (e.g., Star/Snowflake).
• Experience with Python for data manipulation and automation.
• Fluent in English with strong communication skills.

Responsabilidades

• Collaborate with an international team of engineers to design and implement data-driven solutions from concept to deployment.
• Translate business needs and technical requirements into scalable data warehouse solutions.
• Communicate technical decisions clearly to team members and stakeholders.
• Lead code reviews and propose improvements to existing processes.
• Contribute to end-to-end development of data pipelines and warehouse architectures.
• Embrace learning and experimentation to improve results.

Conhecimentos

SQL

Python

Data modelling

Cloud infrastructure

English communication

DWH experience

Descrição da oferta de emprego

synvert, a GlobalLogic company, is building data-driven AI solutions with a global team across Portugal, including offices in Lisbon, Leiria and Viseu. The Data Engineer will shape data pipelines and warehouses to enable insights for internal and external clients.

You will collaborate with cloud, data and product experts to translate needs into scalable data architectures, leveraging modern tools and best practices in a dynamic environment.