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Data Engineer Ref_OE_2025_14168
Cidade / Localidade País Área Tipo de oferta Regime de trabalho Internacional Data Validade
Lisboa / Porto Portugal Informática Tempo Inteiro Híbrido Não 27 Nov 2025 27 Dez 2025
Área Tipo de oferta Regime de trabalho Empregador País Internacional Data Validade
Informática Tempo Inteiro Híbrido Anónimo Portugal Não 27 Nov 2025 27 Dez 2025
Empregador
Anónimo
Descrição
Dellent is a consulting company focused in System Information and Telecommunications. Our goal is to help our candidates and consultants to take a step forward in their careers through projects that meet their needs and expectations.

Would you like to make an impact in different industries with your work? Then this project is for you. Here you will have the opportunity to be part of a multicultural and inclusive team with global projection that contacts with areas such as consultancy, law, strategy, insurance, finance, among others.

We are looking for a Data Engineer to work in this project in Lisbon or Porto.

Your key responsibilities:
- Design and maintain robust data pipelines for AI applications.
- Ensure data availability, integrity, and scalability across platforms.
- Implement ETL processes to prepare data for analytics and modeling.
- Optimize infrastructure for high-volume and real-time data processing.
- Monitor and troubleshoot data flow to minimize downtime.

To qualify for this role, you must have:
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
- 3+ years of experience in data engineering or similar roles.
- Strong proficiency in SQL, Python, and experience with ETL tools.
- Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data lake/data warehouse solutions.
- Knowledge of big data technologies (Spark, Hadoop) and streaming frameworks (Kafka).
- Familiarity with data modeling, API integration, and CI/CD pipelines.
- Fluent in English (written and spoken).

Ideally, you’ll also have:
- Experience in consulting or large-scale enterprise projects.
- Knowledge of MLOps and integration with AI/ML workflows.
- Certifications in Cloud Data Engineering (Azure Data Engineer, AWS Big Data Specialty, etc.).
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