Data Engineer/Data Analyst

Inetum; Lisboa; Presencial; EUR 42 000 - 65 000; Tempo integral

Resumo da oferta

Inetum is seeking a talented Data Engineer to join our team in Lisbon. You will work with large data sets, build robust pipelines, and turn data into actionable insights.

Responsibilities include designing and implementing performant data pipelines with large data volumes, leveraging Data Warehouse concepts (Data Vault 2.0, Kimball), and applying Python, SQL, and Git within CI/CD practices to deliver scalable solutions.

Qualificações

• Experience with Data Warehousing concepts (Data Vault 2.0 and Kimball).
• Experience to develop in Python, SQL, and using Git for version control.
• Experience designing and implementing performant data pipelines with large data volumes.
• Understanding CI/CD principles.

Responsabilidades

• Designing and building robust data pipelines.
• Designing and implementing performant data pipelines with large data volumes.

Conhecimentos

Python

SQL

CI/CD principles

Ferramentas

Git

Descrição da oferta de emprego

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

We are seeking a talented and motivated Data Engineer to join our team. If you have a passion for working with large data sets, creating efficient pipelines, and turning data into actionable insights, we want to meet you!

Responsibilities:

• Designing and building robust data pipelines
• Designing and implementing performant data pipelines with large data volumes

Qualifications

• Experience with Data Warehouse concepts (Data Vault 2.0 and Kimball)
• Experience to develop in Python, SQL, and using Git for version control
• Experience designing and implementing performant data pipelines with large data volumes
• Understanding CI/CD principles

Additional Information

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