Senior Cloud & Platform Engineer (Azure Databricks, Azure Data Lake Storage) F/M/X
At a glance
Senior Data Engineering role at Acuity Analytics. Ref: 26553, Malta, Bulgaria, Austria, United Kingdom · full-time · no salary stated · we estimate £66,500–£96,000 across the United Kingdom.
Acuity Analytics has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and operate Azure platform components with Terraform, PowerShell and Azure DevOps
- Treat infrastructure as software through reusable designs, tests, reviews and version control
- Take platform changes from implementation through pipeline release and operational handover
- Share platform knowledge with operations, service desk and DevOps teams, and explain your results
- Help operations colleagues handle incidents and contribute to engineering standards
What you bring
- At least five years building and running enterprise Azure platforms
- Strong Terraform skills, plus hands-on Azure Databricks platform and Azure Data Lake Storage experience
- Experience creating Azure DevOps build and release pipelines with YAML, reusable templates and approvals
- Advanced PowerShell or Python scripting, including tests and artifact versioning, and professional software engineering practices
- Knowledge of Azure networking, identity and security, plus experience in regulated environments
Who this fits
This hands-on senior engineering role suits someone who builds infrastructure through code rather than portal-based configuration. Clear English communication, strong troubleshooting and a quality-first approach matter, including automation and documentation discipline.
From the employer
About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organizations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We're looking for a Senior Cloud Engineer to build and run enterprise Azure platform capabilities for a team that works on a Big Data Analytics Platform in a large, regulated environment.
This is a hands-on engineering role for someone who treats infrastructure as software: secure, automated, tested and maintainable. You'll enable data and application teams with reliable, compliant and scalable cloud solutions.
Responsibilities
Independently design, develop and operate enterprise-grade Azure platform components using Terraform, PowerShell and Azure DevOps.
Apply software engineering practices to infrastructure and automation: reusable design, automated testing, code reviews and version management.
Own platform changes end-to-end, from implementation through CI/CD and release to operational handover.
Run handover sessions and share knowledge with Operations, Service Desk and the four other DevOps teams, and present your results clearly.
Support ops colleagues during incidents.
Contribute to engineering standards and best practices, and develop a specialty within the team.`
Required skills
5+ years of hands-on experience engineering and operating enterprise Azure platforms
Solid experience in Azure Databricks, platform side only (workspaces, access and networking via Terraform), and Azure Data Lake Storage (ADLS)
Expert level Terraform skills as your primary IaC tool
Solid experience with Azure DevOps pipelines (build and release): YAML, reusable templates, approvals and environments
Advanced scripting in PowerShell (preferred) or Python, including automated testing and artifact/version management
Professional-level software engineering applied to infrastructure: IaC, reusable design, automated deployments and tests, code reviews and version management. This is not portal-based or point-and-click work.
Networking: VNets, private endpoints and NSGs
Identity and security: managed identities, service principals and role assignments
Experience working in a regulated environment
A proactive, can-do mindset, systems-level thinking, strong troubleshooting, advanced communication skills in English and a quality-first approach (automation first, documentation discipline)
Highly advantageous
Hub-and-spoke network architectures
Wider Microsoft Entra ID integration, including app registrations
Azure AI Search, Azure Cosmos DB, Azure Data Factory
Azure Monitor, Log Analytics, Application Insights
German language proficiency
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.
If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.
For more details about Acuity Analytics please see here: Read here.
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