Azure Data Support Engineer Location:Newcastle or London preferredJob Type:Full-time | Permanent (On-Call Requirement)Security Clearance Requirement This role is suitable for candidates who already hold UK Government Security Clearance (SC), or who are eligible and willing to undergo the SC vetting process (eligibility criteria apply). We are looking for a versatile Azure Data & ML Support Engineer with strong expertise in Azure cloud services, DevOps, SQL, and data warehousing to support and optimize ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability of enterprise-scale data and machine learning workloads on Azure through proactive monitoring, issue investigation, automation, and continuous improvement.The ideal candidate will also play a key role in supporting data warehouse systems by managing SQL-based data loads orchestrated through Azure Data Factory (ADF), and by writing and optimizing SQL queries to aid in troubleshooting, data validation, and automation tasks. Key Responsibilities:Azure Platform Support & MonitoringSupport and maintain Azure-based data solutions, including:Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark jobs, notebooks, clusters)Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & AutomationKnowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments.Develop automation scripts using Python, PowerShell, or Bash to reduce manual intervention and improve service reliability.SQL and Data Warehouse OperationsWrite, optimize, and troubleshoot SQL queries for:Data validationRoot cause analysisReport troubleshootingSupport and maintain data warehouse environments, such as:Azure Synapse AnalyticsSQL Server / Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance issues across data pipelines, ML endpoints, and dashboards.Perform root cause analysis (RCA) and provide short-term and long-term solutions.Develop and implement self-healing automation for recurring failures. Service Operations & Support (Managed Services)Provide L2/L3 support aligned with ITIL practices (incident, problem, change management).Participate in on-call rotations and handle critical incident response.Maintain detailed SOPs, runbooks, knowledge base articles, and client documentation.Required Skills and Qualifications:Azure ServicesAzure Data Factory (ADF): pipelines, triggers, parameterization, monitoringAzure Databricks: Spark, notebooks, job orchestrationAzure Machine Learning: pipelines, model deployment, monitoringPower BI Service: dataset refreshes, access control, report diagnosticsDevOps & AutomationCI/CD: Azure DevOps, GitHub Actions, YAML pipelinesScripting: Python, PowerShellMonitoring: Azure Monitor, Log Analytics, Alerts, Application Insights SQL & Data WarehousingSQL skills for debugging, data validation, and optimizationExperience with Azure SQL DB, or SQL ServerFamiliarity with data modeling concepts and warehouse performance tuningSupport & Incident ManagementStrong troubleshooting and analytical skills for root cause analysisExposure to ITSM tools (e.g., ServiceNow, Jira) Preferred Qualifications:Microsoft Certifications (e.g., DP-900, AZ-900, DP-203)Familiarity with AKS, Docker, or containerized ML environmentsUnderstanding of data governance and security in cloud environmentsAI Foundry, Gen AI, Fabric experienceSoft Skills:Strong verbal and written communicationGood documentation and presentation skillsAbility to handle pressure and prioritize effectively in live support environmentsWork Hours & Availability:Core business hours (08:30- 17:30) with rotational on-call support (1 in 4 weeks)Flexibility for off-hours/weekend support during critical deployments or outagesWhy Join Us?Be part of a high-impact team managing enterprise-scale Azure solutionsWork on the intersection of data, AI, DevOps, and automationOpportunities to grow across data engineering, MLOps, and cloud automationA dynamic, learning-focused work environment with cutting-edge tools and processes Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. 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