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- Tasks: Design and manage cloud-based data infrastructure using Microsoft Azure.
- Company: Join Talent, a leader in digital research with real-world impact.
- Benefits: Enjoy 53 days of paid annual leave and a generous pension plan.
- Why this job: Make a difference in health research while working in a collaborative environment.
- Qualifications: Strong experience with Terraform and Azure tools is essential.
- Other info: This is a hybrid role with potential for permanent placement.
The predicted salary is between 42000 - 60000 £ per year.
Talent Manchester, England, United Kingdom
2 days ago Be among the first 25 applicants
This range is provided by Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Job Description
Azure Data Platform Engineer
Location: Greater Manchester, hybrid 1 day a week in the office.
Salary: Competitive (per annum)
Terms: 3-Year Fixed Term (potential to extend or become permanent)
Benefits: 53 days paid annual leave with a generous pension
We\’re hiring an Azure Data Platform Engineer to join a digital research programme focused on high-performance computing and real-world impact, including health research such as Parkinson\’s disease studies.
The Azure Data Platform Engineer will lead on design and management of cloud-based data infrastructure, working primarily in Microsoft Azure. The role sits within Cloud Operations but works closely with Software Engineering and Data and Analytics teams.
Key Responsibilities
- Design and implement data systems using Azure Data Lake, Blob Storage, Cosmos DB, and SQL Database
- Build and manage ETL pipelines with Azure Data Factory
- Develop big data workflows using Databricks and Apache Spark
- Write and maintain infrastructure code using Terraform (not just using modules writing the code is essential)
- Monitor and improve cloud performance, security, and documentation
- Mentor junior engineers and contribute to best practices and future tech direction
What You\’ll Bring
- Strong hands-on experience with Terraform (writing IaC from scratch)
- Proven knowledge of Azure Compute, data storage, and integration tools
- Automation mindset with a strong focus on security and performance
- Experience leading technical tasks and collaborating across teams
If the Azure Data Platform Engineer Role is of interest to you, apply today!
- 53500/year
Talent International UK and it\’s subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this opportunity, you accept the TandC\’s, Privacy Policy and Disclaimers which can be found at talentinternational.co.uk
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Azure Data Platform Engineer employer: Talent
Contact Detail:
Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Platform Engineer
✨Tip Number 1
Familiarise yourself with the specific Azure services mentioned in the job description, such as Azure Data Lake and Azure Data Factory. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with Terraform, especially if you've written Infrastructure as Code (IaC) from scratch. Be prepared to discuss your approach to automation and how it enhances security and performance during interviews.
✨Tip Number 3
Showcase your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. This role requires close collaboration with Software Engineering and Data Analytics teams, so demonstrating your teamwork abilities will be crucial.
✨Tip Number 4
Stay updated on the latest trends and best practices in cloud computing and data management. Being knowledgeable about current technologies and methodologies will not only help you in interviews but also show your commitment to continuous learning in this fast-evolving field.
We think you need these skills to ace Azure Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Azure technologies, Terraform, and data systems. Use keywords from the job description to demonstrate that you meet the specific requirements of the Azure Data Platform Engineer role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cloud computing and data management. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as building ETL pipelines or mentoring junior engineers.
Showcase Technical Skills: In your application, emphasise your hands-on experience with Azure services, especially Azure Data Lake, Blob Storage, and SQL Database. Provide examples of how you've used these tools in past projects to solve real-world problems.
Highlight Collaboration Experience: Since the role involves working closely with Software Engineering and Data Analytics teams, include examples of successful collaborations in your application. This could be through cross-functional projects or mentoring experiences that demonstrate your ability to work well with others.
How to prepare for a job interview at Talent
✨Showcase Your Terraform Skills
Since the role requires strong hands-on experience with Terraform, be prepared to discuss your previous projects where you wrote Infrastructure as Code from scratch. Highlight specific challenges you faced and how you overcame them.
✨Demonstrate Your Azure Knowledge
Familiarise yourself with Azure services like Data Lake, Blob Storage, and Cosmos DB. Be ready to explain how you've used these tools in past roles, particularly in designing and implementing data systems.
✨Prepare for Technical Questions
Expect technical questions related to ETL pipelines, big data workflows, and cloud performance. Brush up on your knowledge of Azure Data Factory, Databricks, and Apache Spark, and be ready to provide examples of your work.
✨Emphasise Collaboration and Mentorship
The role involves working closely with various teams and mentoring junior engineers. Prepare to discuss your experience in leading technical tasks and how you've contributed to team dynamics and best practices in previous positions.
