[ Positions Abroad @ 08.04.2022. 15:23 ] @
Azure Data Platform Engineer

If you find it interesting to:
• work on building the full stack of our Azure Data Analytics Platform and use cases, ranging from data ingestion to data analytics
• work with different units and operating companies on implementing their data driven projects and products
• make sure that each project is implemented with a high level of security and that these projects adhere to governance standards
• have a strong focus on designing and executing cloud architecture


If you have:
• Hands-on technologist, with profound expertise in modern cloud architecture and record of successful implementation of cloud data platforms
• You are familiar with public Cloud data platform (preferably MS Azure) especially PaaS
• Previous work experience 2+ years working in the area of open source data platforms, data architecture, data warehouse and relational database technologies
• Public cloud architecture and experience with migrating, architecting, administrating cloud-based solutions, practical knowledge of software methodologies and putting data workloads to the public cloud
• Must have Tech stack: Bash, Git, Infrastructure Engineering (ARM), DevOps, Python, Kubernetes
• Nice to have Tech stack: Azure (certifications are welcomed), React.js, R, Spark, Flask
• In-depth expertise in public cloud networking and connectivity
• Experience in configuration and source code management automation (CI/CD), and Infrastructure as Code solutions.
• You are familiar with private links, vnets etc. for establishing virtual private cloud settings
• ELT knowledge Extract-Load-Transform

What you will be working on:
• Building and operating MS Azure big data platform and use cases in highly complex environment of a big corporation with complex systems, bringing significant change in digital transformation
• Working on and building solutions for 7 telco providers in CEE Europe
• Introducing lean and scalable cloud PaaS architecture of both platform and use cases with One2Many approach
• Architectural leading of the data platform roadmap. Mapping and consolidating the organizational units' data-relevant requirements to the Azure architecture.
• Design and implement the core cloud data services by design, configuration, and implementation of Azure Kubernetes Services, Synapse, Azure Machine learning, Elastic stack, PowerBI service.
• Design and implementation of data ingestion/message processing architecture (Event hub, ETL pipelines)
• Architectural and technical guide for the projects running on the data platform.
• Creating DevOps / MLOps policies, documentation, architectural elements
• Support the projects to introduce the DevOps mindset and tools in the project on the cloud data platform
• Design the platform with infrastructure as code (bash scripting, ARM, bicep) strategy, to increase the maintainability and extendibility of the platform.
• Design the Azure cloud components based on the Group's security standards: limiting the access to the private network, introduction of azure network features (private endpoints, routing tables, security groups, VPN gateway) to increase the security.
• Do research and proof of concepts about the new Azure features: organizing internal workshops, onboarding sessions.

If you are:
• passionate for big data and analytics technologies and are a constant learner
• Fluent in English & comfortable working in an international environment (English is the Group-wide working language)
• Good at working remotely in virtual teams scaled across EU
• Client and service oriented
• Self-starter, proactive and collaborative person
• Analytical and orientated to details
• Creative and able to improvise and make things happen

If you enjoy the environment where:
• There is no knocking, no doors, and no holding back
• You communicate openly and directly
• You’re free to express and suggest your ideas, and stand up for them
• Employees enjoy motivating benefit package (voluntary health insurance, flexible working hours, various work - life balance benefits, and much more)

Net monthly salary range: 3000 - 3500 EUR

You may send us your CV on: [email protected]