At a Glance
- Tasks: Support and optimise Azure data solutions, ML models, and SQL operations.
- Company: Join Avanade, a leading Microsoft Global Alliance Partner.
- Benefits: Competitive salary, extensive training, and global collaboration opportunities.
- Other info: Dynamic work environment with a focus on learning and inclusivity.
- Why this job: Make an impact in data, AI, and automation while growing your skills.
- Qualifications: Experience in Azure, SQL, and DevOps; strong troubleshooting skills.
The predicted salary is between 36000 - 60000 £ per year.
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
- Support and maintain Azure-based data solutions, including:
- 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.
- 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.
- Write, optimize, and troubleshoot SQL queries for:
- Data validation
- Root cause analysis
- Support and maintain data warehouse environments, such as Snowflake or BigQuery (optional, if used in hybrid environments).
- Monitor ETL performance and investigate slow-running queries and data load failures.
- Investigate 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.
- 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
- Power BI Service: dataset refreshes, access control, report diagnostics
- Scripting: Python, PowerShell
- 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
- Strong troubleshooting and analytical skills for root cause analysis
- Exposure 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 environments
- Understanding of data governance and security in cloud environments
- AI Foundry, Gen AI, Fabric experience
Soft Skills
- Good documentation and presentation skills
- Ability to handle pressure and prioritize 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
Why Join Us?
- 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
As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees.
Azure Data Support Engineer employer: Avanade
Avanade is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the UK and Sweden. With a strong focus on employee growth, Avanade provides ample opportunities for professional development and engagement with industry leaders like Accenture and Microsoft, ensuring that every team member can contribute to meaningful projects that drive transformation. The company's commitment to a supportive environment and clear career pathways makes it an attractive place for those looking to make a significant impact in the AI workforce space.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Support Engineer
✨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 past experiences and how they relate to the role you're applying for.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Avanade.
We think you need these skills to ace Azure Data Support Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Azure, SQL, and DevOps. We want to see how your skills align with the role of an Azure Data Support Engineer!
Show Off Your Skills:Don’t hold back on showcasing your technical skills! Mention any relevant projects or experiences that demonstrate your expertise in data warehousing, automation, and troubleshooting. We love seeing real-world applications of your knowledge.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Avanade
✨Know Your Azure Stuff
Make sure you brush up on your Azure cloud services knowledge. Be ready to discuss your experience with Azure Data Factory, SQL databases, and any machine learning models you've worked on. They’ll want to see that you can not only support but also optimise these systems.
✨Show Off Your Scripting Skills
Prepare to talk about your experience with scripting languages like Python or PowerShell. Have examples ready of how you've used automation to improve service reliability or reduce manual tasks. This is a key part of the role, so make it shine!
✨Be Ready for Troubleshooting Scenarios
Expect questions around troubleshooting failures in data pipelines or ML workflows. Think of specific instances where you’ve performed root cause analysis and what solutions you implemented. They’ll be looking for your analytical skills and problem-solving approach.
✨Understand the Managed Services Environment
Familiarise yourself with ITIL practices and how they apply to incident and change management. Be prepared to discuss your experience in a managed services setting, especially how you handle on-call responsibilities and critical incidents.
