Remote Python Integration Engineer — Azure & Kubernetes

emagine Polska; Warszawa; Hybrid; PLN 210,000 - 299,000; Full time

Job summary

emagine Polska is seeking a Data Integration Engineer to design, build, and run Python-based integration services in a fully remote, Azure-based environment. You will containerize apps for AKS, implement real-time and batch data flows, and collaborate with DevOps to ensure reliable deployments.

The role requires strong Python development, Kubernetes expertise (AKS preferred), and hands-on experience with Argo Workflows, Temporal, or Airflow for workflow orchestration.

Qualifications

• Strong Python programming for integration services.
• Kubernetes (AKS) and cloud-native architectures.
• Azure Cloud with integration/messaging workloads.
• Experience with workflow orchestration systems (Argo Workflows, Temporal, Airflow).
• Familiarity with DevOps practices: CI/CD, IaC, monitoring, GitOps.
• Excellent communication across technical and non-technical stakeholders.
• Consultative, team-oriented mindset.

Responsibilities

• Develop Python-based integration services connecting multiple systems.
• Design and maintain orchestrated workflows with Argo/Airflow/Temporal.
• Write unit/integration/e2e tests to ensure quality.
• Collaborate with clients and stakeholders to translate requirements into solutions.
• Communicate complex concepts clearly to diverse audiences.
• Advise on integration patterns and architecture choices.
• Work in a DevOps environment with IaC, CI/CD, and monitoring.

Skills

Python

Kubernetes

Azure

Argo Workflows

Temporal

Airflow

CI/CD

IaC

Monitoring

GitOps

Communication

Collaborative

Tools

Argo Workflows

Temporal

Airflow

AKS

Job description

emagine Polska is seeking a Data Integration Engineer to design, build, and run Python-based integration services in a fully remote, Azure-based environment. You will containerize apps for AKS, implement real-time and batch data flows, and collaborate with DevOps to ensure reliable deployments.

The role requires strong Python development, Kubernetes expertise (AKS preferred), and hands-on experience with Argo Workflows, Temporal, or Airflow for workflow orchestration.