(Immediate Start) Microsoft Azure Architect

Amplifi (Europe)
Bristol
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Scientist/Machine Learning Engineer - RNA Design

Data Analytics Developer - March 2025

Lead Data Engineer - Snowflake, DBT, Airflow - London - £100k

Data Analyst

Job Title: Microsoft Azure ArchitectJob type:PermanentLocation: We have offices in Leamington Spa, but you canbe based anywhere in the UK as we work flexibly.At Amplifi we knowthat our people are our biggest asset, therefore we are committedto hiring individuals who can embrace and embody our relaxed,family feel culture. We are conscious of creating a diverse andinclusive team, and want to hire people into Amplifi who we canempower and progress. We are aware that you may not meet everysingle requirement on the advert, but we would encourage you toapply or reach out to one of the team as a lot of us did not beginour careers’ at Amplifi as experts. WHO WE ARE:Amplifi is the go-todata consultancy for Enterprise organisations that want theirsuccess to be driven by data. We empower our customers to innovate,grow and succeed by establishing and delivering strategies acrossall elements of the data value chain.From the governance andmanagement of data through to analytics and automation, ourintegrated approach to modern data ecosystems delivers measurableresults through a combination of expert consultancy andbest-in-breed technology.Amplifi Europe has a presence in the UKand Denmark covering UK, Ireland and the breadth of NorthernEurope.THE ROLE:As a Microsoft Fabric Solution Architect, you willbe responsible for designing and developing data warehouse, lakeand lakehouse solutions for Amplifi’s clients, using MicrosoftFabric and other Microsoft Technologies. You will work closely withdata analysts, data engineers and other stakeholders to ensure thatthe solutions we design and implement are optimized forperformance, scalability, and reliability. You will design andimplement solutions appropriate to the needs of the client and inaccordance with industry best practice (such as following the‘medallion’ architecture pattern). Your expertise in datawarehousing, data integration and Microsoft Fabric will be crucialin delivering successful data solutions to Amplifi clients.The roleis primarily client facing, but with a responsibility to contributeknowledge and experience gained from implementation projects to theAmplifi body of knowledge, in order to build collateral for re-usein future implementations.WHAT YOULL BE GETTING UP TO:Design andimplement robust data warehouse, lake and lakehouse solutions usingMicrosoft Fabric and related technologies.Design Fabric solutionsto support the outcomes required by our clients, whilst followingindustry best practice approaches (such as Data Fabric, MedallionArchitecture etc.)Design and implement Data Integration solutionsincluding ingestion of data into Fabric, transformation of data inthe warehouse/lakehouse and delivery of data to consumers.Optimizedata models and database schema to improve query performance anddata retrieval times.Produce designs which help ensure dataaccuracy, consistency, and integrity across the datawarehouse.Implement data partitioning, indexing, and otheroptimization techniques to improve data warehouseperformanceCollaboration:Work closely with data analysts, dataarchitects, data engineers and client stakeholders to gatherrequirements and translate them into scalable Microsoft Fabricsolutions.Collaborate with Amplifi technology experts and client ITteams to ensure seamless deployment processes.Data Governance:Incollaboration with Amplifi data governance experts, design andimplement measures to support data governance best practices,including data security, privacy, and compliance.Develop anddeliver documentation related to Data Fabric architecture,processes, and procedures.Continuous ImprovementStay updated withthe latest advancements in data platform technologies, particularlyMicrosoft Fabric, and reflect this in your solutiondesigns.Participate in design reviews, collaborating with membersof the Amplifi and client teams to ensure robust end toContributeto the Amplifi body of knowledge to benefit future Amplifi projectsin the area of Data Warehouse design and implementation. (E.g. bestpractice, methodologies, lessons learned etc.)THE ROLE WILL BE AGREAT FIT IF:You have experience in SOME of the below:Experience asa Data Platform Architect, with hands-on experience in designingand managing data warehouses, lakes and lakehouses.Provenexperience with Microsoft Fabric or similar dataplatforms.Microsoft certifications in the field of Data and AI(e.g. Microsoft Certified Fabric Analytics Engineer AssociateDP-600, Microsoft Certified: Azure Solutions Architect ExpertAZ-305, Microsoft Certified: Azure Data Engineer AssociateDP-203).Technical skills:Strong proficiency in SQL and databasedesign principles.Experience in data modelling, particularly in thecontext of data warehouse design.Knowledge of cloud platforms suchas Azure, AWS, or Google Cloud, particularly in relation to datawarehousing.Data Integration and EngineeringexperienceUnderstanding of data governance, data security, andcompliance requirements.Preferred experience:Data technologies suchas Databricks, Snowflake etc.Knowledge of data, analytics and AItools.ETL and Data Integration technologies such as Azure DataFactory, Talend, AbInitio or similaStrong problem-solving skillsand the ability to troubleshoot complex issues.Excellentcommunication skills, with the ability to convey technical conceptsto non-technical stakeholders.Ability to work independently as wellas part of a collaborative team.WHAT WE WILL OFFER YOU:30 daysannual leave plus bank holidaysPrivate medical cover throughVitality (this includes, free weekly Café Nero drinks, free cinematickets, free Apple watch, free amazon prime, and many more rewardsthrough Vitality)No dress codeEnhanced maternity, paternity andadoption leaveCompany away daysWork from anywhere allowanceChoiceof Mac or Windows laptop when you startFree use of the mindfulnessapp Headspace for 1 yearIf you have some but not all skillsrequired for this role, don’t worry, we put training/upskilling foreach employee as paramount and can give you the complete skillset.For more information about the role or our flexible workingpolicies, message Naomi Cruden (Talent Manager) on LinkedIn.Amplifido not accept CVs from agencies

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.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.