At a Glance
- Tasks: Design and operate platform capabilities for data engineering teams using Databricks.
- Company: Large international organisation in infrastructure and construction.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Freelance role with flexible working and occasional travel to London.
- Why this job: Join a dynamic team and shape the future of data operations.
- Qualifications: Expertise in Databricks, Terraform, and CI/CD frameworks required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a large international organization operating in infrastructure, construction, and property development, delivering major projects across transport, utilities, and public services. They are scaling their enterprise data platform (Databricks) and investing in strong platform engineering foundations. This is a hands-on platform engineering role focused on Infrastructure as Code, CI/CD, platform reliability, governance, and operational excellence across a modern Azure Databricks environment. This is not a Data Engineering, Analytics, or BI role. Instead, you'll be responsible for the platform capabilities that enable data teams to deliver safely, consistently, and at scale.
What you will be doing:
- As a Senior DataOps Engineer, you'll be responsible for designing, building, and operating the platform capabilities that enable data engineering teams to deploy and scale data workloads safely and consistently.
- Infrastructure as Code & Platform Automation
- Design, implement, and maintain Infrastructure as Code using Terraform
- Build reusable modules and deployment patterns across multiple environments
- Automate provisioning and configuration of Azure and Databricks resources
- Implement policy-as-code and platform guardrails
- Drive platform standardisation and automation initiatives
- CI/CD & Release Engineering
- Design and own CI/CD frameworks for Databricks assets
- Automate testing, validation, and deployment processes
- Implement environment promotion strategies across development, testing, and production
- Reduce manual deployment activities and operational risk
- Integrate source control and modern software engineering practices
- Platform Reliability & Observability
- Develop monitoring, alerting, and operational dashboards
- Improve platform resilience, stability, and recoverability
- Design solutions for failure handling, rollback, and operational recovery
- Support platform performance optimisation and cost management
- Governance & Security
- Implement access controls, security policies, and governance standards
- Automate compliance and security enforcement through code
- Collaborate with governance and architecture stakeholders to ensure alignment with enterprise standards
What we are looking for:
- Strong hands-on experience operating Databricks in enterprise environments
- Deep knowledge of Databricks workspaces, jobs, clusters, repositories, and Unity Catalog
- Expert-level Terraform experience, including module design and infrastructure automation
- Proven experience building CI/CD frameworks for complex cloud platforms
- Strong Python skills for automation and tooling
- Experience implementing monitoring, observability, and operational support capabilities
- Solid understanding of cloud security, access control, and governance principles
- Strong software engineering fundamentals and automation mindset
Nice-to-have:
- Enterprise-scale data platform experience
- Delta Lake, Delta Live Tables (DLT), and Databricks SQL
- Azure monitoring and observability tooling
- Event-driven or streaming architectures
- Experience working across platform, governance, and engineering teams
Contract type: Freelancer agreement, with an initial contract duration of 130 days (around 6 months)
Workplace type: The role is primarily remote, with the requirement of occasional travel to London.
Sounds exciting and want to know more? Apply directly or contact Keana Perez (Technical Recruiter)!
Senior DataOps Engineer – Databricks Platform in Slough employer: Unisys
As a Senior DataOps Engineer with our client, you will join a large international organisation renowned for its commitment to innovation in infrastructure and construction. The company fosters a collaborative work culture that prioritises employee growth through continuous learning opportunities and hands-on experience with cutting-edge technologies like Azure Databricks. With a flexible remote working arrangement and occasional travel to London, this role offers a unique chance to contribute to impactful projects while enjoying a supportive environment that values operational excellence and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior DataOps Engineer – Databricks Platform in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to Databricks and Terraform. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research the company, understand their projects, and be ready to discuss how your experience aligns with their needs. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior DataOps Engineer – Databricks Platform in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with Databricks and Terraform. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Automation Skills:Since this role focuses on Infrastructure as Code and CI/CD, make sure to highlight any automation projects you've worked on. We love seeing examples of how you've improved processes in previous roles!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Unisys
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand the ins and outs of workspaces, jobs, clusters, and Unity Catalog. Being able to discuss your hands-on experience with these components will show that you're not just familiar with the platform but can also operate it effectively in an enterprise environment.
✨Showcase Your Terraform Skills
Since expert-level Terraform experience is a must-have, be prepared to discuss specific projects where you've designed and implemented Infrastructure as Code. Bring examples of reusable modules and deployment patterns you've created, and be ready to explain how they improved efficiency or reduced risk in your previous roles.
✨Demonstrate CI/CD Mastery
The role requires building CI/CD frameworks, so come armed with examples of how you've automated testing, validation, and deployment processes in the past. Discuss any challenges you faced and how you overcame them, as well as the impact your frameworks had on operational risk and deployment activities.
✨Emphasise Governance and Security Knowledge
Governance and security are crucial in this role, so be ready to talk about your experience implementing access controls and security policies. Share how you've automated compliance and security enforcement through code, and highlight any collaboration you've done with governance and architecture teams to align with enterprise standards.
