7 Azure Data Lake Analytics Jobs in the UK

what role you come in and do, we will have a plan targeted to help you advance. What you’ll do As a Data Architect will be required to analyse an array of product offerings and business requirements within Mercury, to create and own the overall data architecture spanning the Mercury product suite. You will work with the product development teams (e.g. Core, Web, Integration, Data Practice and product owners) to evaluate and identify solutions that meet the needs of the business and customers, utilising industry standard best practices, patterns and creative design … techniques to overcome complex business and technical challenges (e.g. maximum performance with complex data sets). Provide data architecture leadership and vision, mentoring product development teams that contribute to the various touch points for Mercury data. Create, maintain and develop a governance model on the data more »

of team Becoming familiar with the applications, integrated solutions, backlogs and current roadmaps Modernise how we do development transitioning on premise solutions to Azure PaaS Key Accountabilities As an experienced Development Manager, you will lead development projects across predominantly Microsoft C# .Net MVC, SQL Server technologies and Web … and growth of our bespoke development capabilities. Leading design phases on Business IT programmes, validating requirements and ensuring that all aspects of UX, data and solution design are within scope, complete, and deliverable. Having responsibility for the architecture of data and solutions delivered to the business … to have significant previous experience with the below tech stack: C#, .Net & ASP.Net Python and Javascript MS SQL Server, SSIS, SSRS , T-SQL, Azure SQL Server, SQL managed instances, Azure Database Migration Services Source Control Experience of Microsoft architectural blueprints and transitioning on premise application to more »

and platforms. Role purpose/summary Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and … analysis of large-scale data. Design scalable and resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and … the solution design. Key Skills/requirements Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data more »

technology, such as Microsoft’s Blazor Framework, you will be responsible for building various applications using Web APIs and messaging systems. From a data perspective, you will work with SQL Server using T-SQL, and there are currently plans to move to the cloud in the near future … services. You will need to have previous experience with the below tech stack: · C#.Net & ASP.Net JavaScript MS SQL Server, SSIS, SSRS, T-SQL, Azure SQL Server, SQL managed instances, Azure Database Migration Services Azure DevOps Experience of Microsoft architectural blueprints and transitioning on premise … application to the cloud Azure Cloud development, NServiceBus, CQRS and Domain-driven design, Scrum/Agile, API Design and management skills HTML, CSS Entity Framework Employment Type Permanent - Full Time Location Flexible Workplace type Fully remote Key Responsibilities Design, develop and maintain .Net applications Lead and mentor development more »

a comprehensive plan for implementation. Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and … analysis of large-scale data. Design scalable and resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and … implementation of the solution design. Required Skills: Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data more »

time to join this ambitious team!! WHAT YOU'LL BE DOING As Senior Machine Learning Engineer, you will sit within the company's Data Science team and report to the Director of Engineering. Their Machine Learning stack runs on on-demand containerised infrastructure – ranging from sub-second latency … Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex … ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure more »

Responsibilities: Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and analysis of large-scale data. … Design scalable and resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and cost-effectiveness. Provide guidance and … implementation of the solution design. Required Skills: Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data more »