Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the evolution of Databricks platforms and ensure operational excellence in cloud-native data services.
- Company: Join a major energy organisation's innovative data platform team through a leading consultancy.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on cutting-edge data solutions while collaborating with diverse stakeholders.
- Qualifications: 2+ years in SysAdmin or DevOps, with strong skills in Databricks, PySpark, and cloud infrastructure.
- Other info: Dynamic role with excellent career advancement opportunities in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Join a major energy organisation's data platform team, via a leading consultancy. You'll champion and evolve their Databricks and Microsoft Fabric estate — owning platform reliability, infrastructure upgrades, and operational excellence across cloud-native data services.
Responsibilities
- Lead the build, maintenance, and upgrade of enterprise Databricks platforms to industry-leading standards.
- Design and implement Microsoft Fabric infrastructure — ensuring high performance, cost-efficiency, and security compliance.
- Provision and manage cloud infrastructure using Terraform and Ansible across Azure/AWS environments.
- Implement CI/CD pipelines using Azure DevOps, Jenkins, and Git for continuous platform delivery.
- Collaborate with Platform Engineers to craft resilient, scalable, and secure data platform solutions.
- Engage with diverse business stakeholders to deliver operationally sound, customer-centric outcomes.
- Support the Platform Engineering Manager in delivering systems within operational expenditure budgets.
You Must Have
- 2+ years in SysAdmin, Operations, DevOps, or Site Reliability Engineering managing complex systems.
- 2+ years hands-on Cloud platform infrastructure experience in Databricks environments (Azure / AWS).
- Strong PySpark, Python, and Linux scripting skills in production settings.
- Proficiency with Terraform and Ansible for provisioning and configuration management.
- Solid experience with *nix systems (Ubuntu / open-source Linux distributions) and Windows Server / PowerShell.
- Working knowledge of cloud networking principles and secure platform integration.
- Clear communication skills — able to translate platform complexity for business stakeholders.
Platform Engineer (Databricks) employer: CodeVerse
Contact Detail:
CodeVerse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer (Databricks)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data platforms. Attend meetups or webinars related to Databricks and Microsoft Fabric — you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Terraform, and Ansible. This can be a game-changer during interviews, as it gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your PySpark and Python skills. Practice common coding challenges and be ready to discuss your past experiences with cloud infrastructure — they’ll want to see how you tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Platform Engineer (Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Databricks, Terraform, and cloud platforms like Azure or AWS. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about platform engineering and how your background aligns with our needs. Don’t forget to mention any specific projects you've worked on that relate to the role.
Showcase Your Technical Skills: Since this role involves a lot of technical work, make sure to include relevant technical skills in your application. Mention your proficiency in PySpark, Python, and any experience with CI/CD pipelines. We love seeing candidates who are hands-on with the tools we use!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at CodeVerse
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Microsoft Fabric knowledge. Be ready to discuss how you've used these technologies in past projects, especially focusing on platform reliability and infrastructure upgrades.
✨Showcase Your Scripting Skills
Prepare to demonstrate your proficiency in PySpark, Python, and Linux scripting. You might be asked to solve a problem on the spot, so practice coding challenges that reflect real-world scenarios you could face in the role.
✨Familiarise Yourself with CI/CD Tools
Since you'll be implementing CI/CD pipelines, make sure you can talk about your experience with Azure DevOps, Jenkins, and Git. Have examples ready that showcase how you've improved deployment processes in previous roles.
✨Communicate Clearly and Confidently
You’ll need to engage with various stakeholders, so practice explaining complex technical concepts in simple terms. This will show your ability to bridge the gap between tech and business, which is crucial for this role.
