IT & Software

Azure Data Support Engineer

Avanade

London · Greater London · United Kingdom

Overview

In this role, you will manage and optimize enterprise-scale data and ML workloads on Azure within a Managed Services setting. You’ll ensure stability, performance, and reliability through proactive monitoring, investigation, and automation. You will support data warehouse operations, optimize SQL queries, and enable smooth data and model deployments. This position offers exposure to data engineering, MLOps, and cloud automation, with a strong focus on cross-functional collaboration.

Responsibilities
  • Azure Platform Support & Monitoring for ADF pipelines, Databricks jobs/notebooks/clusters, ML models/endpoints, and Power BI dashboards
  • Monitor, troubleshoot, and root-cause failures across pipelines, jobs, and ML workflows using Azure Monitor and Log Analytics
  • DevOps & Automation: maintain CI/CD pipelines (Azure DevOps, GitHub Actions) for ADF, Databricks, and ML deployments; develop automation scripts (Python, PowerShell, Bash)
  • SQL & Data Warehouse Operations: write/optimize SQL for data validation, RCA, and report troubleshooting; manage data warehouses (Azure Synapse Analytics, SQL Server/Azure SQL DB; optional Snowflake/BigQuery in hybrid environments)
  • Issue Investigation & RCA: investigate job failures, perform RCA, implement self-healing automation
  • Service Operations & Support (Managed Services): L2/L3 support per ITIL, on-call rotations, maintain SOPs/runbooks/knowledge base for clients
Key requirements
  • Azure Data Factory: pipelines, triggers, parameterization, monitoring
  • Azure Databricks: Spark, notebooks, job orchestration
  • Azure Machine Learning: pipelines, model deployment, monitoring
  • Power BI Service: dataset refreshes, access control, report diagnostics
  • CI/CD: Azure DevOps, GitHub Actions, YAML pipelines
  • Scripting: Python, PowerShell
  • Monitoring: Azure Monitor, Log Analytics, Alerts, Application Insights
  • SQL: debugging, data validation, and optimization
  • Experience with Azure SQL DB or SQL Server; data modeling concepts; warehouse performance tuning
  • Exposure to ITSM tools (ServiceNow, Jira)
  • Strong verbal and written communication
  • Good documentation and presentation skills
  • Ability to handle pressure and prioritize in live support environments
  • Azure Data Factory (ADF) pipelines, triggers, monitoring
  • Azure Databricks: Spark, notebooks, job orchestration
  • Azure Machine Learning: pipelines, model deployment, monitoring

Reference: WJ-747_30143196

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