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For Companies At a Glance
- Tasks: Design and deliver Azure data solutions, lead workshops, and build high-performance data platforms.
- Company: Join a leading UK Microsoft partner specialising in innovative Azure Data & AI solutions.
- Benefits: Enjoy a competitive salary, remote work flexibility, and access to cutting-edge technology.
- Why this job: Shape data strategies for enterprise clients while working with thought leaders in a collaborative environment.
- Qualifications: Experience in Azure data solutions, strong ETL skills, and familiarity with DevOps practices required.
- Other info: Opportunity for structured learning and career development in a respected consultancy.
The predicted salary is between 54000 - 84000 £ per year.
Location: Remote (UK-based, with very occasional travel)
Salary: Up to £75,000 + bonus
Company & role
Join one of the UK’s most advanced Microsoft partners, specialising in Azure-led Data & AI solutions. This consultancy is known for transforming data into tangible value through innovative platforms and strategic data services. With a collaborative team of experts, they deliver impactful solutions across enterprise clients, leveraging the very latest in Microsoft technology.
Why This Role Stands Out
- Play a key role in shaping Azure data strategies for enterprise clients
- Join a pioneering team adopting Fabric, Synapse, and Databricks in production
- Be part of a community of thought leaders, with the opportunity to share ideas and influence outcomes
- Home-based flexibility with a focus on work-life balance
Key Responsibilities
- Design and deliver robust Azure data solutions across strategy, ETL, analytics, and AI
- Lead client workshops and translate business needs into technical design
- Build scalable, secure, high-performance data platforms using the latest Azure services
- Work closely with Architects and Consultants on end-to-end solutions
- Stay up to date on Microsoft innovations and contribute to knowledge sharing
Ideal Experience
- Proven track record delivering data solutions in the Azure ecosystem
- Deep expertise across the Azure Data Platform (Fabric, Synapse, Databricks, Data Lake, Data Factory, Purview, etc.)
- Strong data pipeline and ETL skills, including data modelling and transformation
- Experience implementing Medallion Architecture (Bronze, Silver, Gold layers) in lakehouse or Databricks environments
- Familiarity with DevOps, CI/CD, and agile delivery
- Azure Data Engineer, Fabric Engineer, or related certifications—or motivation to earn them
What’s In It for You?
- Up to £75K base salary plus performance bonus
- Fully remote role with minimal travel expectations
- Access to cutting-edge tech and enterprise-scale projects
- Structured learning and career development paths
- Work with one of the UK’s most respected Azure specialists
Azure Data Consultant employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Consultant
✨Tip Number 1
Familiarise yourself with the latest Azure technologies mentioned in the job description, such as Fabric, Synapse, and Databricks. Being able to discuss these tools confidently during interviews will show your genuine interest and expertise in the field.
✨Tip Number 2
Engage with online communities or forums related to Azure data solutions. This can help you stay updated on industry trends and best practices, and you might even make connections that could lead to referrals or insights about the role.
✨Tip Number 3
Consider participating in workshops or webinars focused on Azure data strategies. This not only enhances your knowledge but also demonstrates your commitment to continuous learning, which is highly valued in consultancy roles.
✨Tip Number 4
Prepare to discuss specific examples of your past work with Azure data solutions, particularly around ETL processes and data modelling. Real-world scenarios will help illustrate your capabilities and how you can contribute to the team.
We think you need these skills to ace Azure Data Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data solutions, particularly focusing on technologies like Fabric, Synapse, and Databricks. Use specific examples to demonstrate your expertise in data pipeline and ETL skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI solutions. Mention how your background aligns with the company's mission of transforming data into value and your eagerness to contribute to their innovative projects.
Showcase Relevant Certifications: If you have any Azure-related certifications, be sure to include them prominently in your application. If you are motivated to earn them, mention this in your cover letter to show your commitment to professional development.
Highlight Collaboration Skills: Since the role involves working closely with Architects and Consultants, emphasise your teamwork and communication skills. Provide examples of past experiences where you successfully collaborated on data projects.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Azure Expertise
Make sure to highlight your experience with the Azure Data Platform, especially tools like Fabric, Synapse, and Databricks. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Skills
During the interview, expect to face scenario-based questions. Practice articulating how you would approach designing robust data solutions and translating business needs into technical designs.
✨Familiarise Yourself with Medallion Architecture
Since the role involves implementing Medallion Architecture, brush up on your knowledge of Bronze, Silver, and Gold layers. Be ready to explain how you've applied this architecture in previous projects or how you would do so.
✨Emphasise Collaboration and Communication
This role requires leading client workshops and working closely with other consultants. Prepare examples that demonstrate your ability to collaborate effectively and communicate complex ideas clearly to non-technical stakeholders.
