Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

(SC cleared) Azure/Cloud Data Architect

Methods
City of London
2 days ago
Create job alert
Overview

Methods Analytics (MA) is recruiting for an Azure/Cloud Data Architect to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

Responsibilities
  • Design and implement secure Azure cloud architectures with a focus on data services and infrastructure
  • Architect and manage security technologies including:
  • Azure Defender, Microsoft Sentinel, Microsoft Purview
  • Azure Key Vault, Entra ID (Azure AD), RBAC
  • NSGs, firewalls, private endpoints
  • Define and implement cloud security strategies, policies, and patterns
  • Create and maintain technical documentation, including runbooks and reference architectures
  • Integrate security practices into CI/CD pipelines (DevSecOps) using Azure DevOps
  • Collaborate with cross-functional teams to ensure secure, scalable data solutions
Requirements
  • Hands-on experience with Azure-native security tools: Microsoft Defender for Cloud, Azure Policy, Azure Firewall, Sentinel, Key Vault
  • Strong understanding of Identity and access management (e.g., Entra ID/Azure AD, OAuth, SAML, MFA)
  • Network security and segmentation in Azure
  • Infrastructure as code (IaC): Terraform, Bicep, or ARM templates
  • Experience with Azure Data Factory (required)
  • Knowledge of Entra ID configuration (preferred)
  • Familiarity with SSIS is a plus
Security clearance

This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the Gov.UK website. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.

Benefits
  • Autonomy to develop and grow your skills and experience
  • Be part of exciting project work that is making a difference in society
  • Strong, inspiring, and thought-provoking leadership
  • A supportive and collaborative environment
  • Development access to Pluralsight and LinkedIn Learning
  • Wellness 24/7 Confidential employee assistance programme
  • Social - office parties, pizza Friday and commitment to charitable causes
  • Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year
  • Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation
  • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
  • Discretionary Company Bonus based on company and individual performance
  • Life Assurance of 4 times base salary
  • Private Medical Insurance which is non-contributory (spouse and dependants included)
  • Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
Seniorities and employment
  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Other
  • Industries: IT Services and IT Consulting


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Engineer

Senior Data Scientist

Sr AWS Data Engineer

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.