10 AWS Jobs in Milton Keynes with Remote Work Options

develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on Google Cloud. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. more »

per annumSolution Architect | Milton Keynes | 65,000 - 75,000 | HybridData | Solution Architect | Consultant | Consultancy | Snowflake | Redshift | SQL Server | ETC | ETL | SQl | Cloud | Azure | AWS | GCP | and moreAn opportunity has arisen for you, a solid Solution Architect to join the team of an excellent company based in the Milton Keynes area. … they’re after –Solid experience working as a Data Engineering Consultant or Solution Architect, particularly with external clientsExperience with cloud technologies, particularly Azure and AWS but GCP considered.Experience with various data storage and processing technologies (MSSQL, Snowflake)Data Modelling, database design, ETL processes.And moreThis role would suit an already experienced … considered.Ben SimpsonBen.simpson@opusrs.comSolution Architect | Milton Keynes | 65,000 - 75,000 | HybridData | Solution Architect | Consultant | Consultancy | Snowflake | Redshift | SQL Server | ETC | ETL | SQl | Cloud | Azure | AWS | GCP | and more more »

a track record in leading agile cloud engineering teamsDemonstrable knowledge with hands-on experience across Public Cloud, with particular focus on Amazon Web Services (AWS) technologiesFull appreciation and experience of SDLC, Infrastructure as Code and DevSecOps principles Knowledge of how to engineer & operate a highly resilient Public Cloud infrastructure across more »

of highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About more »

help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform implementations; and OLTP and analytical warehouses. With experience more »

the latest technologies and techniques – from the messaging hub that integrates the whole of the NHS, to an application that uses a leading-edge AWS technology stack to underpin a great UX visualising the flightpaths of every plane in the world – as well as analysing huge quantities of data to more »

adoption of modern platforms and ways of working. About the Role We’re looking for hands-on platform engineers with deep understanding of the AWS ecosystem to join delivery teams working on some of the most exciting digital programmes around, with clients in a range of industries. As an AWS … opportunity to work with some of the brightest and best in the industry, and evaluate the latest technologies, we’ll reward you for obtaining AWS certifications. About You You’ll have the expertise and confidence to lead the definition and support of the AWS delivery platform in complex engagements, typically more »

within the UK – The office is based in Milton Keynes. To be a successful, the ideal DevOps Engineer candidate will have: Strong background in AWS and serverless tech Strong knowledge of Linux and a scripting language An AWS Certification would be a distinct advantage Experience of working in a small more »

infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both more »

infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both more »