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- Tasks: Lead technical delivery and design modern data platforms on Azure.
- Company: Join one of the UK's top Azure Expert MSPs, known for innovation.
- Benefits: Flexible work options with a competitive salary up to £90,000.
- Why this job: Shape enterprise-scale solutions while mentoring junior consultants in a high-trust team.
- Qualifications: Must have Azure Data Engineer Associate certification and experience with Azure services.
- Other info: Immediate start required; interviews happening ASAP!
The predicted salary is between 54000 - 126000 £ per year.
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This range is provided by Cloud Decisions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Cloud Decisions
Building Elite Azure Teams Azure Certified Powered by CDX Talent Intelligence ️ Host of Microsoft Mentors: The Podcast
Up to £90,000
Immediate Start required!
This one’s urgent…. like starting by the 1st September kind of urgent!
And it’s with one of the UK’s most respected Azure Expert MSPs.
They’re on the lookout for a Senior Azure Data Consultant to lead technical delivery across some serious transformation work, helping design and implement modern data platforms across Azure Data Services including Synapse, Data Lake, Databricks, Fabric and beyond.
It’s a mix of hands-on build and high-trust client engagement. You’ll sit in the heart of a industry leading professional services consulting team, acting as the SME for all thing Azure Data Platform.
What you’ll be doing
- Take ownership of client delivery, from scoping and design to build and handover
- Lead conversations in presales, scope out what ‘good’ looks like, and make it happen
- Mentor junior consultants and guide delivery with SME-level expertise
What they’re looking for
- Azure Data Engineer Associate (must-have)
- Deep, demonstrable experience building cloud-native data platforms in Azure
- Hands-on with Fabric, Data Lake, Synapse, Databricks, Data Factory
- Solid experience with Python, SQL, Spark
- Someone who brings clarity, confidence, and customer energy to every engagement
You’ll need to be comfortable on-site (client locations across the UK), but there’s also full flexibility to plug in from home or one of their regional hubs.
If you\’re looking for the kind of role where you take the reins, shape the work, and deliver enterprise scale Azure Data Solutions… this one is for you.
If you\’re available (or going to be very soon), certified, and want to join a high-trust, high-impact team, get in touch with Oli Ridley or apply here.
This one won’t hang around, we will interview ASAP.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Information Technology
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Industries
Information Services, IT System Data Services, and Data Infrastructure and Analytics
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Azure Data Consultant employer: Cloud Decisions
Contact Detail:
Cloud Decisions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Consultant
✨Tip Number 1
Network with professionals in the Azure community. Attend meetups, webinars, or conferences related to Azure Data Services. Engaging with others in the field can lead to valuable connections and potential referrals for the role.
✨Tip Number 2
Showcase your hands-on experience with Azure tools like Synapse, Data Lake, and Databricks. Consider creating a portfolio of projects that demonstrate your skills and how you've successfully implemented these technologies in real-world scenarios.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Python, SQL, and Spark. Be ready to discuss specific challenges you've faced in previous roles and how you overcame them using these technologies.
✨Tip Number 4
Research the company and its recent projects or achievements in the Azure space. Being knowledgeable about their work will help you engage in meaningful conversations during interviews and show your genuine interest in the role.
We think you need these skills to ace Azure Data Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Azure Data Consultant position. Familiarise yourself with Azure Data Services like Synapse, Data Lake, and Databricks, as well as the skills needed for the role.
Tailor Your CV: Customise your CV to highlight relevant experience in building cloud-native data platforms and your proficiency with Azure technologies. Emphasise your hands-on experience with Python, SQL, and Spark, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Azure Data Solutions and your ability to lead technical delivery. Mention specific projects or experiences that demonstrate your expertise and how you can add value to the team.
Highlight Your Certifications: Make sure to mention any relevant Azure certifications, such as Azure Data Engineer Associate, prominently in your application. This will help establish your credibility and show that you meet the essential qualifications for the role.
How to prepare for a job interview at Cloud Decisions
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Azure Data Services like Synapse, Data Lake, and Databricks. Highlight specific projects where you've built cloud-native data platforms, as this will demonstrate your capability to lead technical delivery.
✨Prepare for Client Engagement Scenarios
Since the role involves high-trust client engagement, think of examples where you've successfully managed client relationships. Be ready to explain how you can bring clarity and confidence to these interactions, which is crucial for a Senior Azure Data Consultant.
✨Emphasise Mentorship Experience
As mentoring junior consultants is part of the job, share your experiences in guiding others. Discuss how you've helped team members grow their skills and how you plan to foster a collaborative environment within the team.
✨Demonstrate Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. This could involve technical hurdles or client-related issues. Showing your problem-solving approach will resonate well with the interviewers looking for someone who can take ownership of client delivery.
