Poznań, Poznań, Greater Poland Voivodeship, Polska
Nordcloud sp zoo
23. 12. 2025
Informacje o stanowisku
technologies-expected :
Azure
Terraform
Docker
Kubernetes
Azure DevOps
Python
about-project :
Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success.
Currently, we are looking for an Azure Data Engineer to join our team in Poland.
responsibilities :
The future winning companies are the ones that are best at harnessing their data to become intelligent, data-driven businesses. Big data enables them to create innovative new applications and build AI solutions for tasks previously thought too difficult for computers.
Building systems for ingestion, transformation, and storage of vast amounts of data requires special expertise, which is why we are looking for a Data Engineer to join our growing Data-Driven Business team.
In this role, you will move beyond traditional ETL. You will be responsible for designing, architecting, and implementing modern, secure, cloud-native data platforms on Azure. You will build the underlying infrastructure that makes data accessible for a new wave of data-powered apps and GenAI services.
requirements-expected :
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.
offered :
Highly skilled co-workers in a friendly and supportive working culture; we enjoy working, having fun together and sharing our knowledge
The most advanced technologies: We are the overly excited techies who can’t wait to read about the newest launches!
Benefits like health care, cafeteria system, life insurance, access to learning platforms, and concierge support
Great self-development possibilities – we organise internal presentations and workshops. If you want, you also get to write blog texts and give presentations at meet-ups
Ability to choose your working model from day one – fully remote, fully on-site, hybrid - your choice!
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses