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- Tasks: Support and optimise Azure data solutions, ensuring performance and reliability.
- Company: Join a dynamic team at a leading tech company focused on innovation.
- Benefits: Enjoy competitive salary, flexible work hours, and opportunities for professional growth.
- Why this job: Work with cutting-edge technology in data, AI, and automation while making a real impact.
- Qualifications: Experience with Azure services, SQL, and strong troubleshooting skills required.
- Other info: Be part of a learning-focused environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 & Monitoring
- Support and maintain Azure-based data solutions, including:
- Azure Data Factory (ADF) pipelines, dataset, linked service, trigger
- 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.
- Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML model 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, and reporting.
- Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server / Azure SQL DB, Snowflake or BigQuery (optional).
- 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 selfâhealing automation for recurring failures.
- Provide L2/L3 support aligned with ITIL practices (incident, problem, change management).
- Participate in onâcall rotations and handle critical incident response.
- Maintain detailed SOPs, runbooks, knowledgeâbase articles, and client documentation.
- Azure Services
- Azure Data Factory (ADF): pipelines, triggers, parameterisation, 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: 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 optimisation
- Experience with Azure SQL DB or SQL Server
- Familiarity with data modelling concepts and warehouse performance tuning
- Support & Incident Management
- Strong troubleshooting and analytical skills for root cause analysis
- Exposure to ITSM tools (e.g., ServiceNow, Jira)
- Microsoft Certifications (e.g., DPâ900, AZâ900, DPâ203)
- Familiarity with AKS, Docker, or containerised ML environments
- Understanding of data governance and security in cloud environments
- AI Foundry, Gen AI, Fabric experience
- Strong verbal and written communication
- Good documentation and presentation skills
- Ability to handle pressure and prioritise effectively in a live support environment
Work Hours & Availability: Core business hours (08:30-17:30) with rotational onâcall support (1 in 4 weeks). Flexibility for offâhours/weekend support during critical deployments or outages.
Why Join Us?- Be part of a highâimpact team managing enterpriseâscale Azure solutions
- Work on the intersection of data, AI, DevOps, and automation
- Opportunities to grow across data engineering, MLOps, and cloud automation
- A dynamic, learningâfocused work environment with cuttingâedge tools and processes
Azure Data Support Engineer in London employer: Avanade Inc.
Contact Detail:
Avanade Inc. Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Azure Data Support Engineer in London
âšTip 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.
âšTip Number 2
Prepare for those interviews by practising common questions related to Azure, SQL, and DevOps. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
âšTip Number 3
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory or machine learning. This gives potential employers a tangible look at what you can do.
âšTip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Azure Data Support Engineer in London
Some tips for your application đ«Ą
Tailor Your CV: Make sure your CV is tailored to the Azure Data Support Engineer role. Highlight your experience with Azure services, SQL, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Don't forget to mention any specific experiences that relate to the job description.
Show Off Your Skills: In your application, be sure to showcase your technical skills, especially in Azure Data Factory, Databricks, and SQL. We love seeing examples of how you've used these tools to solve problems or improve processes.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy to do!
How to prepare for a job interview at Avanade Inc.
âšKnow Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Azure Data Factory and Azure Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
âšShow Off Your SQL Skills
Prepare to demonstrate your SQL prowess. Have examples ready where you've optimised queries or troubleshot data issues. Being able to articulate your thought process during these tasks will impress the interviewers.
âšGet Familiar with DevOps Practices
Since this role involves CI/CD pipelines, make sure you understand the basics of Azure DevOps and GitHub Actions. Be prepared to talk about how you've implemented automation in previous roles and the impact it had on efficiency.
âšCommunicate Clearly and Confidently
Strong communication skills are key in this role. Practice explaining complex technical concepts in simple terms. This will not only help you in the interview but also in your future interactions with team members and clients.
