National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Manning Global AG | Microsoft Fabric Architect

Manning Global AG
East London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Our client, a leading multinational information technology services and consulting company is recruiting for a Microsoft Fabric Architect to join their business in the United Kingdom.Position Title:Microsoft Fabric ArchitectPosition Type:Subcon - inside IR35Start Date:ASAPLocation:UK (remote work)Contact:Davor Molnar | +49 (0) 89 23 88 98 63Responsibilities:Proven experience as a MS Fabric Data ArchitectComfortable developing and implementing a delivery plan with key milestones based on requirementsStrong working knowledge of Microsoft Fabric core features, including setup, configuration, and use of:Azure Data Lake (OneLake) for Big Data storage.Azure Synapse Data Warehouse for database management.Azure Synapse Data Engineering and Data Factory for data integration.Microsoft Purview (preview for Fabric) for data governance.Azure Data Science for analytics and AI workloads.Event stream and Data Activator for real-time data flows.Strong understanding of data modelling, including relational and NoSQL data models.Ability to interpret an organisation’s information needs.Experience collaborating with Azure Cloud Architects to achieve platform goals.Proven experience designing Data architecture to support self-serve analytics and AI development.Knowledge of dimensional modelling and Data Warehousing techniques.Expertise in Data partitioning, indexing, and optimisation strategies for large datasetsSolution/technical architecture in the cloudBig Data/analytics/information analysis/database management in the cloudIoT/event-driven/microservices in the cloudExperience with private and public cloud architectures, pros/cons, and migration considerations.Extensive hands-on experience implementing data migration and data processing using Azure services:, Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc.Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plusNice-to-Have Certifications:AZ-303: Microsoft Azure Architect TechnologiesAZ-304: Microsoft Azure Architect DesignDP-200 Implementing an Azure Data SolutionDP-201 Designing an Azure Data SolutionNice-to-Have Skills/Qualifications:DevOps on an Azure platformExperience developing and deploying ETL solutions on AzureStrong in Power BI, C##, Spark, PySpark, Unix shell/Perl scriptingFamiliarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.Multi-cloud experience a plus - Azure, AWS, GoogleProfessional Skill Requirements:Proven ability to build, manage and foster a team-oriented environmentProven ability to work creatively and analytically in a problem-solving environmentDesire to work in an information systems environmentExcellent communication (written and oral) and interpersonal skillsExcellent leadership and management skillsExcellent organizational, multi-tasking, and time-management skillsProven ability to work independently

National AI Awards 2025

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.