TL;DR

Azure Data Engineer: Designing, architecting, and implementing modern, secure, cloud-native data platforms on Azure with an accent on infrastructure and data quality. Focus on building the underlying infrastructure that makes data accessible for data-powered apps and GenAI services.

Location: Remote (any location). All applicants must have the right to work in Poland.

Company

%hirify_global% is a European leader in cloud implementation, application development, managed services and training.

What you will do

Design, architect, and implement modern, secure, cloud-native data platforms on Azure.
Build the underlying infrastructure that makes data accessible for a new wave of data-powered apps and GenAI services.
Move beyond traditional ETL processes.

Requirements

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).
CI/CD & DevSecOps: Mastery of Azure DevOps (pipelines, releases).
Programming: proficiency in Python for scripting, automation and glue code.
Strong communication skills and fluent English.
All applicants must have the right to work in Poland.

Nice to have

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.

Culture & Benefits

Highly skilled co-workers in a friendly and supportive working culture.
Access to the most advanced technologies.
Benefits like health care, cafeteria system, life insurance, access to learning platforms, and concierge support.
Great self-development possibilities through internal presentations and workshops.
Ability to choose your working model from day one – fully remote, fully on-site, hybrid - your choice!