Informacje o stanowisku
We are looking for an experienced Senior Azure Data Platform Engineer to support the development, performance, and security of a modern cloud-based data ecosystem. This role combines deep technical ownership of Azure infrastructure, data platform optimisation, security best practices, and collaboration across architecture and engineering teams.
Key Responsibilities:
Infrastructure & Platform Management
- Maintain and enhance Azure cloud components such as:
Azure Databricks, Azure SQL, Azure PostgreSQL/MySQL, SQL Managed Instance, Azure Data Factory, KeyVault, Private Link/Endpoint, ADLS, PowerBI Gateway, VM-based Linux/Windows servers, EntraID, Azure Monitor, Azure DevOps Agents. - Improve performance of data processing workflows and harden the overall Data Platform.
- Support the Azure Architect in system design, standards creation, and architectural reviews.
- Contribute to IT strategy, data access patterns, and integration standards.
- Resolve ongoing issues and incidents following best practices.
Security & Network Protection
- Ensure Data Platform security using NSGs, Private Link/Endpoint, DNS resolvers and other controls.
- Monitor threats, analyse logs, manage patches, and proactively respond to security incidents.
- Maintain high integrity and compliance of all cloud systems.
Performance & Cost Optimisation
- Monitor and optimise cloud solutions for performance, cost efficiency, accessibility, and availability.
- Implement improvements that enhance reliability and user experience.
Technical Support & Operations
- Provide expert support to engineering teams and business owners on Azure services.
- Participate in occasional after-hours work for scheduled operations.
- Build proactive failure-handling procedures; create and maintain support documentation.
- Manage access, troubleshoot Azure service issues, and support production workloads.
Innovation & Continuous Improvement
- Stay current with trends in Azure data technologies and evaluate new solutions for adoption.
- Identify opportunities to modernise and optimise the Data Platform.
Business Continuity & Availability
- Support planning and execution of disaster recovery, failover, and risk-mitigation strategies.
- Improve system resilience through pragmatic, risk-reducing initiatives.
Monitoring & Automation
- Monitor systems for anomalies, performance drops, and security signals.
- Create and execute proactive incident-resolution procedures.
- Write automation scripts to eliminate repetitive tasks and reduce operational workload.
Technical Requirements
- Strong hands-on experience with Azure Data services and Azure Infrastructure.
- Good knowledge of ITSM/ITIL (Change, Incident, Problem Management).
- Understanding of networking concepts (VNETs, NSGs, VPNs), identity services (Entra ID, RBAC), and cloud security best practices.
Qualifications
- 4–5+ years in roles such as Data Engineer, Data Platform Engineer, or similar.
- Strong analytical, troubleshooting, and problem-solving mindset.
- Excellent communication and teamwork skills.
- Fluent English (B2/C1).
Nice to Have
- Microsoft Azure Associate-level certifications.
- Experience in international organisations.
- Knowledge of Linux/Windows servers on VMs, Azure Virtual Desktop, Application Gateway + WAF.
- PowerShell, Bash, or Python scripting.
- Infrastructure-as-code (Bicep).
- Understanding of Azure Container Apps, microservices, and serverless architectures.
- Experience managing M365 services (SharePoint, Exchange, OneDrive, Intune, Autopilot, Windows365).
- Familiarity with Zabbix.
We are looking for an experienced Senior Azure Data Platform Engineer to support the development, performance, and security of a modern cloud-based data ecosystem. This role combines deep technical ownership of Azure infrastructure, data platform optimisation, security best practices, and collaboration across architecture and engineering teams.
Key Responsibilities:
Infrastructure & Platform Management
- Maintain and enhance Azure cloud components such as:
Azure Databricks, Azure SQL, Azure PostgreSQL/MySQL, SQL Managed Instance, Azure Data Factory, KeyVault, Private Link/Endpoint, ADLS, PowerBI Gateway, VM-based Linux/Windows servers, EntraID, Azure Monitor, Azure DevOps Agents. - Improve performance of data processing workflows and harden the overall Data Platform.
- Support the Azure Architect in system design, standards creation, and architectural reviews.
- Contribute to IT strategy, data access patterns, and integration standards.
- Resolve ongoing issues and incidents following best practices.
Security & Network Protection
- Ensure Data Platform security using NSGs, Private Link/Endpoint, DNS resolvers and other controls.
- Monitor threats, analyse logs, manage patches, and proactively respond to security incidents.
- Maintain high integrity and compliance of all cloud systems.
Performance & Cost Optimisation
- Monitor and optimise cloud solutions for performance, cost efficiency, accessibility, and availability.
- Implement improvements that enhance reliability and user experience.
Technical Support & Operations
- Provide expert support to engineering teams and business owners on Azure services.
- Participate in occasional after-hours work for scheduled operations.
- Build proactive failure-handling procedures; create and maintain support documentation.
- Manage access, troubleshoot Azure service issues, and support production workloads.
Innovation & Continuous Improvement
- Stay current with trends in Azure data technologies and evaluate new solutions for adoption.
- Identify opportunities to modernise and optimise the Data Platform.
Business Continuity & Availability
- Support planning and execution of disaster recovery, failover, and risk-mitigation strategies.
- Improve system resilience through pragmatic, risk-reducing initiatives.
Monitoring & Automation
- Monitor systems for anomalies, performance drops, and security signals.
- Create and execute proactive incident-resolution procedures.
- Write automation scripts to eliminate repetitive tasks and reduce operational workload.
,[Please see above Requirements: Testing, Oracle, SQL, Linux, Maven, Jenkins, SOAP, REST API, JUnit, Mockito, JSON, XML, Analytical skills, Azure Data, ITIL, Networking, RBAC, Cloud security, Azure, Python, AWS, API, CI/CD Pipelines, Automated testing, Communication skills, Embedded C, Microsoft Azure, Windows, Gateway, WAF, PowerShell, Bash, Bicep, Microservices, SharePoint, Intune, Zabbix Tools: .
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