Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Microsoft Fabric Architect

Manning Global AG
London
8 months ago
Applications closed

Related Jobs

View all jobs

Metering Data Scientist

Lead R Data Scientist - Sustainability

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Engineering Technician - Baggage

Engineering Technician - Baggage

Engineering Technician - Baggage

Our client, a leading multinational information technology services and consulting company is recruiting for aMicrosoft Fabric Architectto join their business in theUnited Kingdom.



Position Title:Microsoft Fabric Architect

Position Type:Subcon - inside IR35

Start Date:ASAP

Location:UK (remote work)

Contact:Davor Molnar | +49 (0) 89 23 88 98 63


Responsibilities:

  • Proven experience as a MS Fabric Data Architect
  • Comfortable developing and implementing a delivery plan with key milestones based on requirements
  • Strong 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 datasets
  • Solution/technical architecture in the cloud
  • Big Data/analytics/information analysis/database management in the cloud
  • IoT/event-driven/microservices in the cloud
  • Experience 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 plus


Nice-to-Have Certifications:

  • AZ-303: Microsoft Azure Architect Technologies
  • AZ-304: Microsoft Azure Architect Design
  • DP-200 Implementing an Azure Data Solution
  • DP-201 Designing an Azure Data Solution


Nice-to-Have Skills/Qualifications:

  • DevOps on an Azure platform
  • Experience developing and deploying ETL solutions on Azure
  • Strong in Power BI, C##, Spark, PySpark, Unix shell/Perl scripting
  • Familiarity 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, Google


Professional Skill Requirements:

  • Proven ability to build, manage and foster a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Desire to work in an information systems environment
  • Excellent communication (written and oral) and interpersonal skills
  • Excellent leadership and management skills
  • Excellent organizational, multi-tasking, and time-management skills
  • Proven ability to work independently

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.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.