IA Data Engineer

Inetum · IT Services & Consulting · Lisbon, Lisbon, Portugal

Lisbon, Lisbon, PortugalInfra & DataSeptember 11, 2025Read from SmartRecruiters
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Likely a ghost listingVerified on the publisher's site 4 hr. ago

Old or reposted several times: there is a fair chance this is a standing pipeline rather than a real opening. Ask the recruiter whether the role is budgeted.

  • Up for 368 d
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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 looking for a Data Engineer with a strategic focus on Artificial Intelligence to strengthen our AI knowledge hub. This role will be key to ensuring the construction of robust and scalable data pipelines, supporting innovative projects in advanced analytics and machine learning.

Responsibilities:

  • Design and build scalable and efficient data systems (databases, data warehouses, and pipelines).
  • Extract, transform, and load (ETL) data from multiple sources, preparing it for BI and AI.
  • Monitor and optimize the performance of data systems, ensuring availability and efficiency.
  • Collaborate with BI teams to define data needs and structure for consumption.
  • Aggregate data from various platforms for advanced analysis.
  • Minimum of 2 years of experience in a similar role.
  • Degree in Computer Engineering or a related field.
  • Previous experience in data modeling and pipeline development.
  • Strong knowledge of Python (preferred), R, and Java FX Script.
  • Familiarity with ETL processes and best practices for data integration.
  • Analytical skills and critical thinking.
  • Good command of English.
  • Workplace type: Hybrid (max. of 3 times per week in the office)
  • Location: Picoas, Lisboa

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Published on September 11, 2025 · first seen on September 6, 2026

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