Data Engineer (Elastic & Python)

Inetum · ESN & Services numériques · Lisbon, Lisbon, Portugal

Lisbon, Lisbon, PortugalInfra & Data12 mai 2026Lu sur SmartRecruiters
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Description

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

We are looking for a Data Consultant to join our team, with a strong focus on data platforms and observability solutions. This role combines technical expertise with analytical thinking and a proactive mindset.

You will work with technologies such as Elastic Search and Python, contributing to modern data environments, and will have the opportunity to engage with areas like AI and cloud-native architectures.

🛠️ Key Responsibilities

  • Develop and maintain solutions based on Elastic Search
  • Build scripts and automation tools using Python for data processing and analysis
  • Implement and manage monitoring dashboards using Grafana and Prometheus
  • Support the design and implementation of observability architectures
  • Contribute to the deployment and management of Kubernetes clusters
  • Collaborate with technical and business teams to gather requirements
  • Actively propose improvements and contribute to continuous optimization
  • Hands-on experience with:
    • Elastic Search
    • Python
  • Knowledge of:
    • Grafana and Prometheus (dashboard implementation and management)
    • Kubernetes (cluster deployment and management)
  • Exposure to Artificial Intelligence (AI) concepts or technologies
  • Experience working in diverse technical environments (considered a plus)
  • Strong analytical and problem-solving skills
  • Strong communication skills
  • Proactive and self-driven attitude
  • Critical thinking and ability to challenge solutions constructively
  • Willingness to learn and continuously improve

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Publiée le 12 mai 2026 · vue pour la première fois le 6 septembre 2026

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