Data Engineer (Elastic & Python)
At a glance
Mid-level Data Engineering role at Inetum. Lisbon · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after Elastic Search solutions
- Write Python scripts and automation to process and analyze data
- Set up and manage monitoring dashboards in Grafana and Prometheus
- Help shape observability designs and put them into practice
- Deploy and manage Kubernetes clusters, while gathering needs from technical and business teams
What you bring
- Hands-on experience using Elastic Search and Python
- Knowledge of Grafana and Prometheus dashboard work, plus Kubernetes cluster operations
- Strong analytical and problem-solving ability, with clear communication and constructive critical thinking
Who this fits
This role suits someone who takes initiative, works independently and keeps learning. You’ll collaborate with both technical and business teams, and the role is based in Lisbon with a hybrid setup.
From the employer
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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