Data Engineer - Cloud, Data Platforms & AI (Hybrid/Remote)

Claranet Portugal; Lisboa; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Balanced work environment

Above-average salary packages

Career development

Certification programs

Leading MSP in Portugal

150+ certified Cloud Engineers

Access to hyperscalers

Resumo da oferta

Claranet Portugal is seeking a Data Engineer to join our Data & AI team, working on complex governance projects, intelligent applications, and revenue-driven use cases across the country.

You will design pipelines, handle data ecosystems, and collaborate with stakeholders to deliver scalable data platforms using GCP, Azure, and Databricks. Knowledge of SQL-based transformations and CI/CD is essential.

Qualificações

• Experience in Public Clouds as a Data Engineer, mainly GCP and Azure.
• Proficient in functional development in a language such as Python, Java, Scala, et cetera.
• Skilled in data discovery and transformation employing PL/SQL or SQL-Like languages.
• Expertise in the Data Lifecycle: Ingestion; Transformation; Discovery; Enrichment; Modelling;
• Know-how in CI/CD and IaC (e.g., Terraform).
• Fluency in Portuguese.

Responsabilidades

• Be part of a team that designs and deploys data ecosystems, just as pipelines with collaboration, security, scalability, and high availability as main principles.
• Explore and benchmark data solutions to fulfil the business stakeholders’ requirements.
• Integrate, handle, transport, process, and model data into Data Platforms.
• Participate in projects to develop intelligent applications and use cases that will enable our clients to operate more efficiently and generate more revenue.
• Design best practices and transmit know-how to the other teams.

Conhecimentos

Python

Java

Scala

Ferramentas

GCP

Azure

Databricks

PowerBI

Descrição da oferta de emprego

Claranet Portugal is seeking a Data Engineer to join our Data & AI team, working on complex governance projects, intelligent applications, and revenue-driven use cases across the country.

You will design pipelines, handle data ecosystems, and collaborate with stakeholders to deliver scalable data platforms using GCP, Azure, and Databricks. Knowledge of SQL-based transformations and CI/CD is essential.