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Data Engineer (Elastic & Python)

Inetum Polska Sp. z o.o.·Salary not specified

Primary stack

PythonElasticsearch

Nice to have's

GrafanaPrometheusKubernetesArtificial Intelligence (AI)

Job description

About the Position

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 Engineer (Elastic & Python) to join our team in Lisbon, Portugal, 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.

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

Requirements

  • 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

We Offer

  • Opportunity to work with cutting-edge technologies
  • Collaborative and innovative work environment
  • Professional growth and development opportunities

About the Company

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.

© Inetum Polska Sp. z o.o.. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Inetum Polska Sp. z o.o. logo
Inetum Polska Sp. z o.o.

Cybersecurity,AI and Digital Transformation,Cloud Services,Business Process Automation

About the Company Inetum Polska Sp. z o.o. is a part of a global, integrated firm with 27,000 talented IT specialists across 26 countries. The company focuses on enhancing local capabilities to be closer to its clients. It emphasizes the use of generative AI to drive competitiveness and offers services in areas such as AI adoption, cybersecurity, cloud modernization, and smart networks. Products, Services & Tech Stack Core Solutions Generative AI: Turning pilots into measurable, real-value results with Inetum’s Coborg™. Cybersecurity: Identifying and building resilience against evolving cybersecurity threats. Cloud Modernization: Leveraging Azure for scalability, cost optimization, and compliance. Smart Networks: Exploring the convergence of AI and Digital Twins for network operations and efficiency. Technologies & Frameworks Salesforce Microsoft Azure ServiceNow Project Scope & Target Clients Client Base Inetum serves a diverse range of clients globally, focusing on sectors that benefit from digital transformation, AI integration, and enhanced cybersecurity measures. Engineering Scale The company handles projects that range from small-scale implementations to large, complex engineering endeavors, tailored to meet the specific needs of its clients.

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