DevOps Data Engineer – Streaming Lisboa

DevOps Data Engineer – Streaming
Lisboa
Lisboa, Lisboa, Portugal

Descrição da empresa

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.

Descrição do emprego

We are looking for a technology enthusiast with solid experience in observability, data pipelines, and advanced analytics to join our team. If you enjoy challenges, dynamic environments, and want to contribute to the continuous improvement of infrastructure and data quality, this opportunity is for you

Key Responsibilities:

• Manage and optimize Linux operating systems and automation using Shell scripting.
• Administer Kubernetes clusters (native or
  - specific) and Docker/Containers.
• Implement and maintain observability solutions: ELK Stack, Grafana, Prometheus, Collectd, Vector, Beats, Fluentd.
• Work with streaming and messaging technologies: Stream
  Sets, Kafka, Rabbit
  MQ, Pulsar.
• Develop data pipelines, modeling, dashboards (Kibana, Grafana), and query optimization.
• Manage ETL processes and data warehousing.
• Program in Shell scripting, Python, Go, Perl, SQL.
• Analyze complex data, identify patterns, extract insights, and perform statistical analysis.
• Propose creative solutions to improve data efficiency and quality.

Qualificações

• Minimum of 2 years of experience in a similar role.
• Solid experience with Linux and automation.
• Advanced knowledge of Kubernetes, Docker, and distributed architectures.
• Familiarity with observability tools (ELK, Grafana, Prometheus).
• Experience with streaming/messaging (Kafka, Rabbit
  MQ, Pulsar).
• Knowledge of ETL, data warehousing, and data pipelines.
• Strong analytical and critical thinking skills to solve complex problems.
• Interest in continuous learning and adaptability to new challenges.

Informação adicional

• Workplace type: Hybrid (max. of 2 times per week in the office)
• Location: Campo Grande, Lisboa