At a Glance
- Tasks: Support and maintain Azure data solutions, troubleshoot issues, and develop automation scripts.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic work environment with excellent career advancement potential.
- Why this job: Make an impact in the cloud space while working with cutting-edge technologies.
- Qualifications: Experience with Azure tools, strong SQL skills, and proficiency in scripting languages.
The predicted salary is between 45000 - 55000 £ per year.
Security Clearance Requires UK Government Security Clearance (SC) or eligibility to undergo SC vetting.
Key Responsibilities
- Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, Azure Databricks, Azure Machine Learning models and endpoints, Power BI dashboards.
- 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 or GitHub Actions for ADF, Databricks, and ML model deployments.
- Develop automation scripts (Python, PowerShell, Bash) to reduce manual intervention.
- 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, investigate slow-running queries and data load failures.
- Perform root cause analysis and implement self-healing automation.
- Provide L2/L3 support aligned with ITIL practices; participate in on-call rotations and critical incident response.
- Maintain SOPs, runbooks, knowledge base articles, and client documentation.
Required Skills and Qualifications
- Experience with Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, SQL Server, and Azure SQL DB.
- Strong SQL skills for debugging, data validation, and optimization.
- Proficiency in scripting: Python, PowerShell, Bash.
- Experience with CI/CD pipelines and automation.
- Knowledge of Azure Monitor, Log Analytics, and alerting.
- Experience with ITSM tools such as ServiceNow or Jira.
- Strong troubleshooting and analytical skills; ability to perform root cause analysis.
- Excellent documentation and presentation skills.
- Ability to handle pressure, prioritize in a live support environment.
- Core business hours (08:30‑17:30) with rotational on-call support (1 in 4 weeks).
Preferred Qualifications
- Microsoft certifications (DP‑900, AZ‑900, DP‑203).
- Experience with AKS, Docker, or containerized ML environments.
- Understanding of data governance and security in cloud environments.
- Experience with AI Foundry, Gen AI, Fabric.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Avanade is committed to providing veteran employment opportunities to our service men and women.
Azure Data Support Engineer employer: Avanade Spain SL
Avanade is an exceptional employer for an Azure Data Support Engineer, offering a dynamic work culture that prioritises innovation and collaboration. With a strong commitment to employee growth, Avanade provides access to cutting-edge technology and training opportunities, ensuring that team members can advance their skills in a supportive environment. Located in the UK, employees benefit from a balanced work-life schedule and the chance to contribute to impactful projects within the government sector, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Support Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even online forums related to Azure and data solutions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Azure Data Factory, Databricks, or any automation scripts you've developed. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL skills and troubleshooting scenarios. Practice explaining your thought process clearly, as communication is key when discussing complex data solutions with non-technical stakeholders.
✨Apply Through Our Website
Don't forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also helps you stand out as a candidate who’s genuinely keen on joining our team.
We think you need these skills to ace Azure Data Support Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Azure Data Support Engineer role. Highlight your experience with Azure services, SQL skills, and any relevant automation scripts you've developed. We want to see how your background fits our needs!
Show Off Your Skills:In your cover letter, don’t just list your skills—show us how you’ve used them in real-world scenarios. Talk about specific projects where you’ve supported Azure-based solutions or tackled troubleshooting challenges. We love a good story!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to proofread for any typos. We appreciate clarity and professionalism in your written communication.
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—just follow the prompts!
How to prepare for a job interview at Avanade Spain SL
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Azure Data Factory, Databricks, and Machine Learning. Be ready to discuss specific projects you've worked on and how you tackled challenges using these tools. This will show that you're not just familiar with the tech but can also apply it effectively.
✨SQL Skills Are Key
Since strong SQL skills are a must for this role, practice writing and optimising queries. Be prepared to explain your thought process when debugging or validating data. You might even get a technical question during the interview, so having examples ready will help you shine.
✨Show Off Your Scripting Skills
Familiarity with Python, PowerShell, and Bash is essential. Think of some automation scripts you've developed and be ready to discuss how they improved processes. Highlighting your ability to reduce manual intervention will definitely impress the interviewers.
✨Prepare for Troubleshooting Scenarios
Expect questions about troubleshooting and root cause analysis. Prepare some real-life examples where you identified issues in ETL performance or pipeline failures. Demonstrating your analytical skills and how you handle pressure will show that you're ready for the demands of the job.
