At a Glance
- Tasks: Support a large-scale cloud and data engineering programme using Azure technologies.
- Company: Join a fast-paced, innovative team focused on modern Azure and Databricks ecosystems.
- Benefits: Fully remote work, competitive pay, and a chance to enhance your technical skills.
- Other info: Opportunity for growth in a technically mature and collaborative setting.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge cloud technologies.
- Qualifications: Experience in Azure Platform Engineering and Terraform is essential.
The predicted salary is between 50000 - 60000 £ per year.
We're looking for highly capable Azure Platform Engineers to support a large-scale cloud and data engineering programme. This environment is fast-paced, technically mature, and heavily invested in modern Azure, IaC, and Databricks ecosystems. Strong technical depth and clear, concise communication are essential. Outside IR35. Remote. 6 months contract.
Core Technical Requirements
- Azure Platform Engineering
- Deep hands-on experience building and operating cloud-native platforms in Azure
- Strong understanding of Azure networking, identity, security baselining, and landing zone patterns
- Experience working in highly automated, scalable, enterprise-grade environments
- Terraform (IaC)
- Solid production experience delivering infrastructure via Terraform
- Strong module design, state management, secret handling, and CI/CD integration
- Ability to define, manage, and version cloud resources using best-practice IaC patterns
- Databricks
- Practical experience supporting, deploying, or engineering Databricks workspaces
- Strong knowledge of cluster configuration, job orchestration, workspace governance, and optimisation
- Comfortable working alongside data engineers and platform squads
- Unity Catalog (Highly Advantageous)
- Experience implementing or working within Unity Catalog for centralised governance
- Understanding of cataloguing, lineage, secure data access, and workspace-level controls
- Ability to support migration from legacy Hive Metastore to Unity Catalog is a major plus
Soft Skills & Delivery
- Clear, concise communicator (no overly long CVs - brevity and clarity matter)
- Strong problem-solver who can operate independently in a remote environment
- Able to articulate platform decisions and engineering rationale effectively
- Comfortable working in cross-functional teams following modern DevOps practices
Please can you send me a copy of your CV if you are interested.
Data Platform Engineer employer: Jefferson Frank
Join a forward-thinking company that values innovation and technical excellence, offering a fully remote work environment for Azure Data Platform Engineers. With a strong emphasis on employee growth, you will have the opportunity to work with cutting-edge technologies in a collaborative culture that encourages clear communication and problem-solving. Enjoy the flexibility of remote work while being part of a dynamic team dedicated to delivering impactful cloud solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the hunt for a Data Platform Engineer role. You never know who might have a lead or can put in a good word for you!
✨Tip Number 2
Prepare for those interviews! Brush up on your Azure, Terraform, and Databricks knowledge. Practise explaining your past projects clearly and concisely, as communication is key in this role.
✨Tip Number 3
Showcase your skills! If you’ve got any side projects or contributions to open-source that highlight your expertise in Azure or IaC, make sure to mention them. It’s a great way to stand out from the crowd.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it makes it easier for us to spot your CV and get back to you quickly.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Platform Engineer role. Highlight your Azure experience and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Keep It Concise:Brevity is key! We appreciate clear and concise communication, so keep your CV focused and to the point. Avoid overly long descriptions and stick to the essentials that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to highlight your hands-on experience with Azure, Terraform, and Databricks. We’re looking for solid production experience, so make sure to include specific examples of your work in these areas.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jefferson Frank
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Be ready to discuss your hands-on experience with Azure networking, identity, and security baselining. They’ll want to see that you can navigate the Azure ecosystem like a pro!
✨Show Off Your Terraform Skills
Prepare to talk about your experience with Terraform and how you've delivered infrastructure using it. Highlight specific projects where you’ve designed modules or managed state effectively. Real-world examples will make your skills stand out!
✨Get Familiar with Databricks
Since Databricks is a key part of the role, be ready to discuss your practical experience with it. Talk about cluster configuration, job orchestration, and any governance practices you’ve implemented. This will show you’re not just familiar but also capable.
✨Communicate Clearly and Concisely
Remember, clarity is key! Practice articulating your thoughts on platform decisions and engineering rationale. Keep your CV brief and to the point, as they value clear communication. This will help you make a strong impression during the interview.
