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Data Engineer/Data Analyst

Inetum · IT Services & Consulting

Lisbon, Lisbon, PortugalInfra & DataSource: SmartRecruiters
Listing in English

How fresh is this listing

LiveVerified on the publisher's site 3 hr. ago

Still listed by the publisher, posted less than a month ago.

  • Up for 11 d
  • Inetum takes listings down after a median 61 d (115 closed listings observed)

Checked every six hours on the publisher's site. Age counts from the original posting date, even after a repost.

What the listing says

Design and build robust data pipelines with large data volumes using Python, SQL, and Data Warehouse concepts.

  • Hybrid · 2 remote days/week
  • Individual contributor

Read from the listing's text by a language model on September 14, 2026 — indicative, check the original listing.

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.

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

Tech stack detected

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