Hybrid Data Engineer: Build Big Data Pipelines & Insights

Inetum2; Lisboa; Híbrido; EUR 50 000 - 80 000; Tempo integral

Resumo da oferta

Inetum2 is seeking a Data Engineer to design and maintain robust data pipelines for large datasets. The role emphasizes building performant pipelines, applying data warehousing concepts, and collaborating with teams to turn data into actionable insights.

Proficiency in Python and SQL, along with Git for version control, is required. Exposure to CI/CD practices in data projects is a plus. The workplace is hybrid, with equal onsite and remote work, located in Parque das Nações, Lisboa.

Qualificações

• Experience designing and building robust data pipelines.
• Experience with large data volumes and performance tuning.
• Knowledge of Data Vault 2.0 and Kimball data warehousing concepts.

Responsabilidades

• Designing and building robust data pipelines.
• Designing and implementing performant data pipelines with large data volumes.
• Experience with Data Warehouse concepts ( Data Vault 2.0 and Kimball ).
• Develop in Python, SQL, and using Git for version control.
• Understand CI/CD principles in data environments.
• Collaborate with teams to ensure reliable data delivery.

Conhecimentos

Python

SQL

CI/CD principles

Data warehousing concepts

Ferramentas

Git

Descrição da oferta de emprego

Inetum2 is seeking a Data Engineer to design and maintain robust data pipelines for large datasets. The role emphasizes building performant pipelines, applying data warehousing concepts, and collaborating with teams to turn data into actionable insights.

Proficiency in Python and SQL, along with Git for version control, is required. Exposure to CI/CD practices in data projects is a plus. The workplace is hybrid, with equal onsite and remote work, located in Parque das Nações, Lisboa.