Manning Global AG | Microsoft Fabric Architect

Manning Global AG
East London
4 months ago
Applications closed

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

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.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.