Data Engineer: Design Scalable Pipelines & Data Solutions

Axians Portugal; Lisboa; Presencial; EUR 45 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Employee assistance program

Performance bonuses

Resumo da oferta

Axians Portugal is seeking a Data Engineer to join a data-driven environment focused on process optimization, data analytics, and automation. You will design and maintain data infrastructures, ensuring reliability and performance, and support decision-making through data engineering best practices.

The role involves building scalable data solutions, optimizing processes, and advancing automation initiatives with robust data architectures.

Qualificações

• Professional experience as a Data Engineer or in a data-focused role.
• Experience designing scalable data pipelines and data architectures.
• Advanced level of English (written and spoken).

Responsabilidades

• Design and develop high-performance data pipelines.
• Create and maintain data schemas and data models.
• Manage releases and support data migration activities.
• Monitor database performance and troubleshoot data-related issues.
• Automate the end-to-end deployment and release of artifacts across environments.
• Participate in project code reviews and promote development best practices.
• Support data infrastructure activities and ensure data quality and reliability.
• Provide expertise and recommendations to stakeholders in resolving complex data challenges.

Conhecimentos

Python development

VBA

Data solutions design

Data modelling

Analytical skills

Communication

Descrição da oferta de emprego

Axians Portugal is seeking a Data Engineer to join a data-driven environment focused on process optimization, data analytics, and automation. You will design and maintain data infrastructures, ensuring reliability and performance, and support decision-making through data engineering best practices.

The role involves building scalable data solutions, optimizing processes, and advancing automation initiatives with robust data architectures.