Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data solutions using Azure technologies.
- Company: Join a top Microsoft UK Azure Solutions Partner driving innovation in Data & AI.
- Benefits: Enjoy fully remote work, flexible hours, and collaboration with industry experts.
- Why this job: Be at the forefront of exciting Azure projects with significant growth potential.
- Qualifications: Experience in Data Engineering, T-SQL, Python or C#, and data warehousing required.
- Other info: Connect with Oli Ridley on LinkedIn for more insights about the role.
The predicted salary is between 36000 - 60000 £ per year.
This is your chance to be part of one of Microsoft UK’s most trusted Azure Solutions Partners, working at the forefront of Azure Data & AI innovation. If you love designing and building enterprise-scale data solutions, collaborating with some of the best minds in the industry, and working on cutting-edge projects—this is for you.
What You’ll Be Doing
- Design & build scalable, high-performance data solutions using Azure technologies
- Develop ETL pipelines, real-time streaming, and data integration workflows
- Work with Azure Synapse, Databricks, Data Factory, Fabric, and Purview
- Implement best practices for security, performance, and reliability
- Collaborate with Azure Architects & Data Engineers to deliver world-class solutions
What You’ll Need
You’re a technical expert with hands-on experience in:
- Data Engineering – T-SQL, Python or C#, Kimball data warehousing, Medallion architecture
Why Now?
Azure Data & AI projects are seeing explosive growth, and this Microsoft Azure Data + AI Partner is leading the way. With a packed pipeline of exciting projects and enterprise clients investing heavily in cloud transformation, now is the perfect time to jump in.
Ready to learn more? Apply here or get in touch directly with Oli Ridley (Azure Talent Director) via LinkedIn.
Azure Data Engineer employer: Cloud Decisions
Contact Detail:
Cloud Decisions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with the specific Azure technologies mentioned in the job description, such as Azure Synapse and Databricks. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with professionals in the Azure Data Engineering field, especially those connected to Microsoft UK. Engaging with them on platforms like LinkedIn can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented ETL pipelines or data integration workflows. Being able to articulate your problem-solving process and the impact of your solutions will demonstrate your expertise.
✨Tip Number 4
Stay updated on the latest trends in Azure Data & AI. Showing that you're proactive about learning and adapting to new technologies can impress the hiring team and show your commitment to the field.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies, data engineering, and relevant programming languages like T-SQL, Python, or C#. Emphasise any projects where you've designed scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Azure Data & AI innovation. Mention specific projects or experiences that align with the job description, showcasing your ability to collaborate and implement best practices.
Showcase Relevant Skills: Clearly list your technical skills related to data engineering, such as ETL pipeline development and experience with Azure Synapse, Databricks, and Data Factory. Use examples to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in the tech industry.
How to prepare for a job interview at Cloud Decisions
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with T-SQL, Python or C#, and data warehousing concepts. Highlight specific projects where you've designed and built scalable data solutions using Azure technologies.
✨Understand the Azure Ecosystem
Familiarise yourself with Azure Synapse, Databricks, Data Factory, Fabric, and Purview. Be ready to explain how you've used these tools in past projects and how they can be leveraged for future solutions.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in data engineering and how you overcame them. This could include optimising ETL pipelines or ensuring data security and reliability in your solutions.
✨Collaborative Mindset
Emphasise your ability to work with Azure Architects and other Data Engineers. Share examples of successful collaborations that led to the delivery of high-quality data solutions, showcasing your teamwork skills.
