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- Tasks: Support and optimise Azure data solutions, ensuring performance and reliability.
- Company: Join a leading tech firm recognised as Microsoft’s Global Alliance Partner of the Year.
- Benefits: Competitive salary, extensive training, and opportunities for professional growth.
- Other info: Flexible work hours with on-call support and a focus on diversity and inclusion.
- Why this job: Work at the forefront of data, AI, and automation with a supportive team.
- Qualifications: Experience in Azure services, SQL, and strong troubleshooting skills required.
The predicted salary is between 45000 - 55000 ÂŁ per year.
Location: 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).
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.
- Azure Platform Support & Monitoring
- Support and maintain Azure-based data solutions, including:
- Azure Data Factory (ADF) pipelines, dataset, linked service, trigger
- Azure Machine Learning models and endpoints
- Power BI dashboards and dataset refreshes
- DevOps & Automation
- Knowledge 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 Operations
- Write, optimize, and troubleshoot SQL queries for:
- Data validation
- Root cause analysis
- SQL Server / Azure SQL DB
- Snowflake or BigQuery (optional, if used in hybrid environments)
- Service Operations & Support (Managed Services)
- Provide L2/L3 support aligned with ITIL practices (incident, problem, change management).
- Azure Data Factory (ADF): pipelines, triggers, parameterization, monitoring
- Azure Machine Learning: pipelines, model deployment, monitoring
- Power BI Service: dataset refreshes, access control, report diagnostics
- DevOps & Automation
- CI/CD: Azure DevOps, GitHub Actions, YAML pipelines
- Python, PowerShell
- Monitoring: 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
- ServiceNow, Jira
- Microsoft Certifications (e.g., Familiarity with AKS, Docker, or containerized ML environments
- Understanding of data governance and security in cloud environments
- AI Foundry, Gen AI, Fabric experience
Ability to handle pressure and prioritise effectively in live support environments. 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.
Work on the intersection of data, AI, DevOps, and automation. Opportunities to grow across data engineering, MLOps, and cloud automation. Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications). Collaborate with some of the brightest “Microsoft minds”.
As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise.
Azure Data Support Engineer in England employer: Avanade
Contact Detail:
Avanade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Support Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects, SQL queries, and any automation scripts you've developed. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to Azure, DevOps, and SQL. Practise explaining your thought process when troubleshooting issues, as this is key for roles like Azure Data Support Engineer.
✨Tip Number 4
Apply through our website! We love seeing applications from passionate candidates. Make sure to tailor your application to highlight your experience with Azure services and data management to stand out.
We think you need these skills to ace Azure Data Support Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure cloud services, SQL, and data warehousing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the Azure Data Support Engineer role and how your background makes you a perfect fit. We love hearing your story!
Show Off Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges in data management or troubleshooting. We value analytical skills, so let us know how you’ve used them in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Avanade
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Azure Data Factory, Machine Learning models, and SQL. Be ready to discuss how you've used these tools in past projects and any challenges you've faced.
✨Showcase Your Troubleshooting Skills
Prepare examples of how you've tackled issues in data pipelines or SQL queries. Highlight your analytical skills and your approach to root cause analysis, as this will be crucial for the role.
✨Demonstrate Your DevOps Knowledge
Familiarise yourself with CI/CD processes and tools like Azure DevOps and GitHub Actions. Be prepared to discuss how you've implemented automation scripts using Python or PowerShell to improve service reliability.
✨Emphasise Your Team Spirit
This role involves collaboration, so be ready to talk about your experience working in teams. Share how you've contributed to a positive team environment and supported your colleagues in achieving common goals.