76 to 83 of 83 Azure Cosmos DB Jobs in the UK

Express, FastAPI/Django/Flask, ASP.NET, Spring Boot, or similar) Experience with relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB, MongoDB, Cosmos) including data modeling, query optimization, and understanding trade-offs between storage technologies Hands-on experience with generative AI tools and APIs (e.g., LLM-assisted … coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability to navigate and become effective in codebases ...

skills and experience are we looking for? Demonstrable proficiency in C# development (.NET 6/8) Practical knowledge of or eagerness to learn Azure PaaS/SaaS offerings (Azure Functions, App Services, Table/Queue/Blob Storage), ASP.NET WebAPI, and database technologies (CosmosDB) Demonstrable knowledge ...

data modelling and NoSQL design in Azure. You will design data models for relational and NoSQL systems, implement ETL/ELT pipelines using Azure Data Factory, and lead data migration projects. The role requires two days per week in Central London and supports a flexible hybrid setup. #J ...

line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services … DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing ...

want to be part of building out next generation SaaS products that power the automotive industry? JATO is currently looking to hire an Azure Data Engineer to join our agile teams. As a Data Engineer, you will work in a product delivery team using your data analysis … based on the commercial requirements and provisioned to internal and external customers Key Responsibilities: Ingest, warehouse, and store data at scale in the Azure cloud platform as JATO Data Assets Build Data Products from Data Assets and provision to customers to satisfy commercial requirement Work closely with colleagues ...

include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling* Assessing and advocating data management technologies … including SQL and Python* Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies … languages including SQL and PythonDemonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies … languages including SQL and PythonDemonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...