Lead Azure Cloud Engineer

Zenzero
Liverpool
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Architect

Lead Architect

Data Engineer - Databricks

Senior Data Engineering Manager

Data Engineer, Manager

Data Scientist, London Geolytix

Azure Lead Cloud EngineerAs a Lead Azure CloudEngineer you will play a pivotal role in our Data & DevelopmentServices capability, working closely with our data and softwareengineers to create robust, secure, scalable solutions. Leveragingyour technical skills across the Azure platform, you will design,build, and optimise solutions for our customers, owning ourapproach to implementing networking, CI/CD, and securityfunctionality. Key Responsibilities: Designing and implementing ourcustomers’ Azure infrastructure, including provisioning,configuration, performance monitoring, policy governance andsecurity. Ensuring cloud infrastructure meets performance,security, and other non-functional requirements. Migrating clients’existing on-premises infrastructure services to Azure. Building outour internal Azure sandbox tenant to enable proofs of concept andhosting of our industry accelerators and demonstrators. ProvidingAzure technical expertise and guidance to our data engineers and365 engineers. Staying abreast of industry trends, best practice,and new features within Azure and the wider platform engineeringdiscipline to keep Zenzero’s offering up-to-date. Cloud EngineeringLead Typical Cloud Engineering tasks: Instantiating Azure services,with a focus on data (e.g. Azure Data Factory, Azure Synapse, AzureData Lake, Azure SQL, Azure Databricks, Azure Machine Learning)Designing network architecture for client’s Azure tenantsConfiguring and administrating Service Principals, users, andgroups Creating VNets and Private Endpoints Setting up performancemonitoring and trouble-shooting issues Creating subscriptions withappropriate cost-control measures in place Designing and buildingCI/CD pipelines and version control Building and maintaining ourinternal tooling and processes We do not expect you to be an expertin all areas and we understand that experiences vary based on thebackground and years of experience Below we list some of the skillswe are looking for. An inquisitive approach to technology andproblem solving Expertise in cloud infrastructure and networkingSound knowledge of design principles and an interest in developingrobust solutions Experience in working across a range of tools andservices across the Azure stack Strong interpersonal skills andable to develop good working relationships with internal andcustomer stakeholders Comfortable with a degree of ambiguity incustomer requirements and the ability to make decisions based onlimited information Excellent written and verbal communicationskills and communicate complex technical information to bothtechnical and non-technical colleagues

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.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.