At a Glance
- Tasks: Support and maintain Azure data solutions while troubleshooting and optimising performance.
- Company: Join a dynamic tech team focused on enterprise-scale Azure solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Enjoy a learning-focused culture with cutting-edge tools and processes.
- Why this job: Work at the forefront of data, AI, and automation in a collaborative environment.
- Qualifications: Experience with Azure services, SQL, and strong troubleshooting skills required.
The predicted salary is between 63000 - 77000 £ per year.
Location: Newcastle or London preferred.
Job 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).
Key Responsibilities
- Azure Platform Support & Monitoring: Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting.
- DevOps & Automation: Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability.
- SQL and Data Warehouse Operations: Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server / Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures.
- Issue Investigation & RCA: Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis 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 Services: 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).
- DevOps & Automation: CI/CD using Azure DevOps, GitHub Actions, YAML pipelines.
- Scripting: Python, PowerShell.
- Monitoring: Azure Monitor, Log Analytics, Alerts, Application Insights.
- SQL & Data Warehousing: SQL skills for debugging, data validation, and optimization; experience with Azure SQL DB or SQL Server; familiarity with data modeling concepts and warehouse performance tuning.
- Support & Incident Management: Strong troubleshooting and analytical skills for root cause analysis; exposure to ITSM tools such as ServiceNow and Jira.
Preferred Qualifications
- Microsoft Certifications (e.g., DP‑900, AZ‑900, DP‑203).
- Familiarity with AKS, Docker, or containerized ML environments.
- Understanding of data governance and security in cloud environments.
- Experience with AI Foundry, Gen‑AI, Fabric.
Soft Skills
- Strong verbal and written communication.
- Good documentation and presentation skills.
- Ability to handle pressure and prioritize effectively in live support environments.
Work 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 outages.
Benefits
- Be part of a high‑impact team managing enterprise‑scale Azure solutions.
- Work on the intersection of data, AI, DevOps, and automation.
- Opportunities to grow across data engineering, MLOps, and cloud automation.
- A dynamic, learning‑focused work environment with cutting‑edge tools and processes.
Azure Data Support Engineer in London employer: 3004 Avanade UK Limited Company
Avanade is an exceptional employer, offering a dynamic work culture that prioritises collaboration and innovation within the Health & Public Sector. Employees benefit from extensive growth opportunities through strategic partnerships with Accenture, allowing for impactful contributions to digital transformation initiatives. With a strong commitment to diversity and inclusion, Avanade fosters a sense of belonging, making it an ideal workplace for those passionate about leveraging Microsoft technologies to drive meaningful change.
Contact Details:
3004 Avanade UK Limited Company Recruitment Team
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