Professional Experience: 8+ years in IT, with extensive hands-on experience building modern cloud data platforms and infrastructure, Cloud Expertise (Azure): Deep knowledge of the Azure ecosystem (Azure Data Lake Storage, KeyVault, Azure Monitor, Networking), Infrastructure as Code (IaC): Advanced proficiency with Terraform for provisioning and managing cloud resources, Containerisation & Orchestration: Strong practical experience with Docker and AKS (Azure Kubernetes Service). You know how to efficiently deploy and manage workloads in production, CI/CD & DevSecOps: Mastery of Azure DevOps (pipelines, releases). You understand how to integrate security scanning, policies and compliance into the lifecycle (DevSecOps), Programming: proficiency in Python for scripting, automation and glue code, Data Engineering Stack: Experience with modern data processing and orchestration tools (e.g., Azure Data Factory, Databricks, Fabric or Airflow), Testing: A mindset for quality—writing automated infrastructure tests and data quality checks., AI/ML Infrastructure: Experience setting up infrastructure for Azure ML, MLOps practices or deploying models on AKS, GenAI & LLMs: Familiarity with Large Language Models (OpenAI/Azure OpenAI), Vector Databases or RAG architectures, Certifications: Active Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Data Engineer Associate), Consultancy experience: Previous experience gained in mid-size/large international client-facing environments, “Hold my beer – I got this” attitude, Insight Geek that needs constant feeding, Strong communication skills and fluent English.

sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, fruits, integration events