
Data on Cloud Architect - Up to £150K
Hybrid
London, United Kingdom
£ 150,000 / year
Full Time
01-04-2025
Job Specifications
My client, a leading Consultancy is looking for a Data on Cloud Architect
The person will have a hands on solution on AWS/AZURE/GCP/Snowflake Architecture, End to End Solution (Scope, Objectives, Value Proposition, Design Principles, Design Notes on various architecture Patterns, has experience on Delivering Cloud Data Architecture, Data Mesh, OneLake Architecture, good experience and understanding of DevOps, CI/CD, Data Governance, Data Management, Data Privacy, Data Security, Metadata and Master Data Management, MDM Implementation etc.
Have to be Very Clear on These Concepts, Pros / Cons, Technology Grip, Design aspects across any industry domains (Preferred in BFS, Service Industry, Travel etc.). Hands on ability to build PPT / Draw Solutions / Present with strong communication skills – articulate complex solutions with clear benefits.
The right person will help with Sales / solutions.
Up to £150K + Bonus + Benefits
About the Company
Our aim is to become a recruitment agency who are globally recognised as a leader in our field and respected for how we treat people, how we deliver our services and for our work towards improving diversity within the Financial, Technology and FinTech sectors. Our focus is on FinTech, Capital Markets, Blockchain/Crypto, Data and exciting Technology (non-Financial Services) firms for roles in Sales, Product, Strategy, Technology, Data & Transformation. Know more
Related Jobs


- Company Name
- Microsoft Innovation Center
- Job Title
- Member of Technical Staff, AI Post-Training
- Job Description
- Overview CLICK HERE TO APPLY Job Description Help us develop and train the cutting-edge models that are served in Copilot. At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models and products. We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who: Are passionate about shipping models into products that users will love Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Develop data collection, evaluation, and finetuning methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality. Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love. Embody our culture and values. Required/Minimum Qualifications Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python Expertise in post-training of AI models Additional Or Preferred Qualifications Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Proven research track record in a domain related field supported by exceptional papers CLICK HERE TO APPLY


- Company Name
- Formula Recruitment
- Job Title
- Lead Data Scientist
- Job Description
- Lead Data Scientist | Advanced Process Modelling | Pharma/Biotech Salary: Up to £80,000 Technology: Python, MATLAB, MVA, SIMCA Location: Hybrid, London (Flexible) We’re partnering with an innovative and fast-scaling company that’s transforming how pharmaceutical and biotech organisations optimise their manufacturing processes. They combine cutting-edge data science with deep domain expertise to deliver model-driven solutions that enhance product quality, reduce batch failures, and improve operational efficiency. As demand for their expertise grows, they're expanding their global team to take on some of the industry’s most complex and high-impact challenges. They are looking for a Lead Data Scientist who sits at the intersection of advanced analytics, strategic project execution, and pharmaceutical process knowledge. You’ll be responsible for guiding client engagements, leading multi-regional teams, and developing innovative solutions that directly impact drug manufacturing outcomes on a global scale. Key Responsibilities Lead and deliver global data science projects in pharma manufacturing. Manage timelines, risks, and client communications. Design ML models for process monitoring and predictive analytics. Integrate ML to boost efficiency and reduce batch loss. Build mechanistic, hybrid, and data-driven models for optimisation. Ensure regulatory compliance and deploy models using SIMCA. Mentor data scientists and support knowledge sharing. Produce clear documentation and client-facing reports. Required Experience 5+ years in data science, with expertise in process monitoring and control. Proven track record managing global, cross-functional projects. Experience with OSI-PI, SAP, MES, or similar systems (preferred). Strong background in ML for process monitoring and anomaly detection. Skilled in MVA and tools like SIMCA, plus Python and/or MATLAB. Able to integrate diverse data sources into analytical workflows. Strong leadership and client-facing communication skills. Highly organised, with a results-driven, problem-solving mindset. This is a unique opportunity to take on a technical leadership position at the forefront of data-driven manufacturing in the life sciences sector. You’ll play a key role in delivering impactful global projects, shaping the future of advanced analytics in pharma and biotech. The role offers a flexible, remote-first work environment with strong support for professional growth and development. ** Unfortunately due to a high number of applications, not all applicants will receive feedback


- Company Name
- Sky
- Job Title
- Cloud Engineering Team Lead
- Job Description
- Job Description We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What You'll Do Lead and manage a team of DevOps engineers responsible for the development, deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation, and optimization of DevOps products and workflows Collaborate with cross-functional teams, including product management, operations, video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues, ensuring high availability, quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies, incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members, fostering a culture of continuous learning and improvement Manage team WIP limits, roadmaps, timelines, and resources to ensure successful delivery of multiple projects What You'll Bring Experience working on multiple projects as part of a cross-functional team Working with architecture teams to design scalable, fault-tolerant, and cost-efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang, Javascript, Python, Bash) Proven experience in IAC frameworks (e.g. Terraform, Ansible, Pulumi) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD, FluxCD) Proven experience in working with DB (RDBMS or NoSQL) Proven experience in a containerized environment (k8s, docker) and tools (kubectl, Helm, kustomize, docker-compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack) Proven experience in monitoring systems (e.g. Prometheus) Proven experience in tracing systems (e.g. OpenTelemetry, Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service-affecting issues in a Broadcast/Livestream environment Pro-active attitude Team Overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support, playout, distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! The rewards There's one thing people can't stop talking about when it comes to : the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & How You'll Work Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.


- Company Name
- System Recruitment Specialists
- Job Title
- Azure Cloud Engineer
- Job Description
- Cloud Infrastructure Engineer - Azure 4 days a week in the office in London Base salary of 75 – 95K GBP We are working with an Investment Manager in London who are seeking an experienced Cloud Infrastructure Engineer. The role will be focused on maintaining and enhancing the firm’s current Azure Cloud infrastructure as well as completing our migration to our Azure Cloud solution. The individual will be dealing with a wide range of issues, from complex cloud infrastructure problems and project work to complementing network and firewall provisioning. Duties: Maintain and monitor a highly available and complex Azure Cloud infrastructure Perform daily system monitoring Repair and recover from server and software failures Identify issues proactively and suggest solutions Provide some end user support including VIP support Manage software and update deployments Improve processes with use of automation tools Do occasional out of hours and weekend work Be back-up support for firewall and network issues Have strong interpersonal skills Be eager to learn and have attention to detail Requirements The candidate will have a background from a financial firm, ideally a hedge fund or asset manager Ability to communicate, to be able to articulate and explain complex paradigms in simple lay terms Ability to collaborate and communicate with other members of the team Ability to successfully engage in multiple initiatives and projects simultaneously Have an excellent technical understanding of: Azure cloud computing concepts and design E365 / Office 365 / Teams / OneDrive / SharePoint Azure AD/Entra ID and knowledge of networking principles Deploying resources with IaC (Terraform) techniques, using PS/CLI/ARM templates SCCM CI/CD pipelines Intune policies and device management, iOS/Android Powershell and Terraform scripting HyperV server SQL Server Failover Clustering, High Availability and Disaster Recovery techniques Cloud DR solutions Networking switch administration and PaloAlto firewall (knowledge of) Azure Kubernetes / containers DevOps work practices, pipelines, git control