Azure Cloud Application Developer

Simpson Associates
York
1 month ago
Applications closed

Related Jobs

View all jobs

Python Developer

Principal Architect_Data Engineer_4

Senior Data Developer

New Stack Developer

Full Stack Developer

Innovation Developer

Simpson Associates transforms raw data into actionable insights that drive positive change.

Our Microsoft data expertise, our specialist sector knowledge, plus our innovative and trusted advice and guidance are just some of the reasons clients choose to work with us.

Our mission is to help purpose-led organisations from within the public and private sectors to harness data as a lever for change and enable them to realise business value more quickly. We provide the full range of services to support organisations on their data transformation journey. From advisory support and data strategy, to developing Data & AI solutions, right through to providing a range of managed services.

We are a Microsoft Solutions Partner, holding the Analytics on Microsoft Azure Specialisation and the Migrate Enterprise Applications to Microsoft Azure Specialisation, as well as Solutions Partner designations in Data & AI (Azure); Digital & App Innovation (Azure); and Infrastructure (Azure).

But it's not just about the badges. We are proud to be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics.

With offices in York and Sheffield and a team-based throughout the UK – we champion creativity, innovation and collaboration in the workplace.

The Role

We are looking for an experienced Azure Cloud Developer to join our team. This role requires expertise in Azure Integration Services, including Azure Service Bus, Azure Functions, Logic Apps, and API Management. The ideal candidate should have strong .NET development skills with experience building cloud applications using Azure App Service and be proficient in containerization with Docker. The candidate should hold the Microsoft Certified: Azure Developer Associate certification.

As an Azure Cloud Developer, you will be responsible for designing, developing, and implementing cloud-based solutions on the Microsoft Azure platform. Your role will involve architecting and building these solutions to ensure they are scalable, reliable, performant, cost-efficient and secure, across a wide-range of projects, including cloud applications and integration-based solutions.

You will work closely with cross-functional teams and our customers to build solutions that integrate seamlessly with their business processes and requirements. Excellent stakeholder management skills are essential as you will interact with a broad spectrum of customers and internal team members, including direct interactions with senior leadership.

Key Responsibilities

  • Design, develop, and maintain Azure-based applications using services such as Azure App Service, Azure Service Bus, Azure Functions, Logic Apps, API Management, Azure Storage, Azure Key Vault, Application Insights and more.
  • Develop and maintain cloud-based web applications using .NET and Angular, ensuring high performance, scalability, and security.
  • Develop and deploy containerized applications using Docker and other cloud-native technologies.
  • Collaborate with customers to understand business requirements and provide cloud-based solutions that meet their needs.
  • Deliver projects and solutions to a high standard and quality, following our project methodology and processes.
  • Implement best practices for Azure cloud architecture, security, and governance.
  • Automate deployments and infrastructure using Infrastructure-as-Code (IaC) with Azure Bicep, and tools such as Azure PowerShell, Azure CLI and Azure DevOps.
  • Monitor and troubleshoot cloud-based applications and solutions, ensuring high availability and performance.
  • Provide ongoing support and maintenance for cloud-based applications and integration solutions.
  • Stay up to date with the latest Azure technologies and best practices to continuously improve solutions.

Skills and Attributes Required

  • Extensive experience working with Microsoft Azure.
  • Hands-on experience developing applications with Azure App Service, Azure Storage, Azure Service Bus, Azure Functions, Logic Apps, and API Management.
  • Experience in designing, developing, and deploying secure and scalable Azure cloud applications and solutions.
  • Proficient in C#, .NET, ASP.NET (Core), MVC, Web API, and experience with scripting languages such as PowerShell.
  • Expertise in Angular, with strong HTML, CSS, and JavaScript/TypeScript skills for frontend web development.
  • Knowledge and experience delivering integration patterns including message-based and event-driven architectures.
  • Familiarity with containerization and Docker.
  • Microsoft Certified: Azure Developer Associate certification (AZ-204).
  • Working knowledge of CI/CD pipelines and DevOps practices.
  • Familiarity with version control systems, especially Git.
  • Understanding of working with REST APIs, including authentication.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication skills and ability to work directly with customers.
  • The ability to prioritise workload under pressure and deliver to tight deadlines.
  • Enthusiastic, confident, and proactive.
  • Strong team player and the ability to work independently.
  • Pleasant, friendly, and approachable manner, with empathy for customers.

Advantageous Qualifications and Skills

  • Experience with Kubernetes (particularly Azure Kubernetes Service).
  • Understanding of network setup and configuration in Azure.
  • Familiarity with Power Automate or other workflow automation tools.
  • Experience with data engineering practices and Azure Data Factory.
  • Familiarity with Power BI (particularly Power BI Embedded).
  • Microsoft certifications: DevOps Engineer Expert (AZ-400).
  • Project management experience.



Knowledge is power, and data brings knowledge.

At Simpson Associates data is in our DNA; and knowing how to leverage it enables us to never miss the mark. Our data and performance management solutions enable us to help organisations understand and resolve some of the most complex and common challenges.

As a Microsoft Solutions Partner, we are committed to helping organisations achieve their business goals. With offices in York and Sheffield, and a team-based throughout the UK – we champion creativity, innovation and collaboration in the workplace

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.