Senior Data Platform Engineer - Remote & Automation-Driven

LUZA Group; Leiria; Hybrid; EUR 60,000 - 110,000; Full time

Benefits offered by this job

Remote work where possible

Equipment provided

Benefits plan

Job summary

Luza is a consulting company focusing on talent, tech and innovation. We design, deploy and operate data platforms with real-time streaming, including Kafka and Flink, on Kubernetes. The team applies DevOps/SRE principles to automate infrastructure, manage costs, and ensure resilience, reliability, and security across cloud-native data services.

Mostly remote work is offered. We value autonomy, collaboration, and continuous improvement, with strong English/Portuguese communication.

Qualifications

• Strong knowledge of Kubernetes, DevOps and SRE practices in production.
• Experience with CI/CD, automation, and IaC (Terraform/Terragrunt).
• Proficient in SQL and database performance tuning.

Responsibilities

• Collaborate with stakeholders, developers, and managers to ensure timely deliverables.
• Design, deploy and operate data platforms, including real-time streaming (Kafka, Flink).
• Operate cloud-native data services on Kubernetes with DBaaS and database operators.
• Apply DevOps/SRE with automation and scalable infrastructure as code.
• Build reusable modules and self-service data services for teams.
• Reduce toil and modernise legacy data systems.
• Design for resilience, high availability, backup and failover strategies.
• Monitor reliability with Prometheus/Grafana; troubleshoot incidents and root causes.
• Analyse capacity, optimize costs with FinOps; participate in 24/7 hotline.

Skills

Kubernetes

DevOps

SRE

CI/CD

Python

Bash

Terraform

Terragrunt

Ansible

GitLab CI/CD

Argo CD

Vault

Prometheus

Grafana

CloudNativePG

Tools

Terraform

Terragrunt

Ansible

GitLab CI/CD

Argo CD

Vault

Prometheus

Grafana

CloudNativePG

Kafka

Flink

Debezium

Job description

Luza is a consulting company focusing on talent, tech and innovation. We design, deploy and operate data platforms with real-time streaming, including Kafka and Flink, on Kubernetes. The team applies DevOps/SRE principles to automate infrastructure, manage costs, and ensure resilience, reliability, and security across cloud-native data services.

Mostly remote work is offered. We value autonomy, collaboration, and continuous improvement, with strong English/Portuguese communication.