JobCubby JobCubby
Sign up
Inetum

Data Engineer/Data Analyst

Inetum Lisbon, Portugal

IT Services and IT Consulting · 10,001+ employees

8 h ago
data-analyst Mid (2-5 yrs) Full-time Portugal
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

The role involves designing and building robust, performant data pipelines to handle large volumes of data. You will be responsible for turning raw data into actionable insights to support business objectives.

What they look for

Data Engineering Data Analysis Python SQL Git Data Warehouse Data Vault 2.0 Kimball CI/CD Data Pipelines

Requirements

Candidates must have experience with Data Warehouse concepts like Data Vault 2.0 and Kimball, as well as proficiency in Python and SQL. Additionally, knowledge of Git for version control and CI/CD principles is required.

Full description

Company Description

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

  • Workplace type: Hybrid (50% onsite, 50% remote).
  • Location: Parque das Nações, Lisboa.

Similar roles