Data Engineer/Data Analyst

Inetum • English • Government • Python • SQL • Data Vault • 7 hours ago
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Salary
≈ $26k – $70k per year (Estimated)
Location
In office (Lisbon)
Seniority
Senior
Employment
Full-Time
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Impact
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Inetum

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.com • HQ: Saint-Ouen-sur-Seine, France • Professional Services • Government • Custom Software Development • Software • IT Outsourcing • Cybersecurity • Cloud Computing • IT Consulting • Information Technology • 5000+ employees • Est. 1970

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.
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