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Location
Hybrid (Lisbon, Portugal)
Seniority
Principal
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 6, 2026. Inetum scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Inetum is a European digital services company founded in France in 1970 as Gfi Informatique and renamed in 2021 after its acquisition by the private equity firm Bain Capital. It provides consulting, application development, infrastructure and managed services to clients across roughly twenty countries, with particular strength in France, Spain, Portugal and Belgium and a large nearshore delivery base in Morocco and Eastern Europe. Alongside services the group publishes its own software for public administration, human resources and finance, which gives it recurring licence revenue that pure services competitors lack.

Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic, inclusive, and diverse work environment where creativity and collaboration thrive. Present in 19 countries, we are a team of more than 28,000 professionals worldwide.

As a Data Engineer, you will contribute to the development of data solutions that support business users and operational teams. You will work across data processing, ETL activities, data visualization, and process automation initiatives while collaborating closely with business stakeholders.

Main Responsibilities:

  • Design and develop data tools to support business needs.
  • Collaborate with stakeholders to understand requirements and translate them into data solutions.
  • Develop and maintain ETL processes.
  • Support data processing and visualization initiatives.
  • Design and develop dashboards using Power BI.
  • Identify opportunities for process improvement and automation.
  • Ensure effective collaboration and communication with stakeholders.

What You'll Bring:

  • Senior-level experience in Data Engineering.
  • Experience with Python and/or PySpark.
  • Experience with ETL processes.
  • Understanding of data processing concepts.
  • Experience designing and developing Power BI dashboards.
  • Understanding of database management principles.
  • Ability to translate business requirements into data solutions.
  • Strong stakeholder collaboration skills.
  • Fluency in English.

Additional Valued Experience:

  • Exposure to data warehousing environments.
  • Experience with process automation initiatives.
  • Experience supporting data visualization projects.
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