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Recognized global employer, common data-engineer title and Azure skillset drive moderate candidate density.
Microsoft Azure data engineering skills are easily transferable across industries.
Specific Microsoft Azure data stack requirements and operational support skills create moderate shortlisting strictness.
Build and maintain scalable data infrastructure using Microsoft data tools (e.g., Synapse pipelines, Power BI, Fabric jobs) to support analytics and business intelligence.
Manage cloud-based data environments including forecasting cloud costs and optimising cloud resource usage for efficiency.
Collaborate with analysts and technology teams to ensure data quality, security, support analytics projects, and drive system improvements.
Experience supporting Data and Analytics systems, preferably in a global corporate environment (service desk).
Proven expertise with Microsoft Data and Analytics tools such as Synapse, Data Factory, Azure Monitoring, and Azure Cost analysis.
Written and verbal proficiency in English.
Legal right to work in the role's location (India, Pakistan, Poland, UK).
Experienced in end-to-end data infrastructure support within Microsoft ecosystem focusing on scalable and secure data pipelines.
Demonstrated ability to manage cloud costs and optimise cloud data environments with attention to performance and efficiency.
Comfortable working collaboratively with business users, data analysts, and technical teams to provide data solutions and resolve complex technical issues.