9 of 9 Contract NoSQL Jobs in London

desirable). Strong frontend development experience with ReactJS . Proven experience building and supporting REST APIs and microservices . Experience working with relational and NoSQL databases, particularly Oracle and Couchbase . Experience with messaging and event-driven technologies such as Kafka , ActiveMQ , or AmazonMQ . Good understanding of observability ...

highly reliable systems Strong API development and integration experience Experience with Kafka/event-driven architecture Good understanding of PostgreSQL and/or NoSQL databases Experience with CI/CD and DevOps Agile product development experience Strong understanding of software design, testing and TDD Experience working with cloud technologies , ideally ...

Significant commercial experience developing backend applications in Python. Proven expertise within AWS cloud environments. Strong understanding of database technologies, including PostgreSQL and SQL or NoSQL databases (preferably DynamoDB). Experience in building and supporting production-grade backend services. Comfort in a hands-on development environment. Strong problem-solving abilities with ...

experience supporting cloud-native applications on Azure Hands-on Azure Functions , ideally using TypeScript/Node.js Azure App Services and serverless/PaaS architectures NoSQL experience, with Cosmos DB highly desirable Ability to troubleshoot performance, networking, configuration and integration issues Frontend/Web Architecture Strong understanding of modern ...

/or Python. - Strong understanding of AWS services including: * Lambda and container-based compute platforms * Kubernetes, ECS/Fargate or similar orchestration technologies * NoSQL and relational databases * Messaging and integration services * Cloud storage solutions - Practical experience applying AI technologies such as LLMs, RAG, AI agents and automation within software solutions. ...

security and data standards. Key Skills Azure Cosmos DB, including SQL API and query optimisation C#, ASP.NET and .NET Core Cosmos DB SDKs and NoSQL data modelling Change Data Feed and Spark integration PySpark and Apache Spark Microsoft Fabric data pipelines Partitioning, indexing and consistency levels Pytest and automated testing ...

transformation programme within financial services. This is a hands-on engineering role not a traditional DBA position . Youll work across Oracle, PostgreSQL and NoSQL platforms , helping build, automate and optimise highly available enterprise database environments. If you enjoy automation, performance tuning, modern DevOps and solving complex database challenges , this … Required Qualifications, Skills and Experience: Experience as a Database Engineer/DBA . Hands-on Oracle and PostgreSQL experience. Experience with at least one NoSQL/distributed database Cassandra, MongoDB or Couchbase. Strong SQL, performance tuning and troubleshooting skills. Experience with replication, clustering and high availability. Strong automation/scripting ...

modelling Database design ETL and integration frameworks Single Sign-On integration Knowledge of the following would be advantageous: C# Python Cloud technologies Lakehouse architectures NoSQL databases Preferred Experience NICE Actimize implementation experience. Communication Surveillance experience. Experience delivering compliance technology programmes. Experience operating within highly regulated banking environments. Global programme delivery ...

evolution of modern data platforms, including cloud-based data lakes, warehouses, and event-driven data architectures. Design data solutions across both relational and NoSQL technologies , including MongoDB where appropriate. Ensure alignment with enterprise architecture, security, privacy, regulatory, and governance standards. Drive improvements in data quality, consistency, stewardship, and reuse across … architecture and enterprise data design Conceptual, logical, and physical data modeling Data integration and interoperability SQL and strong understanding of relational databases Experience with NoSQL technologies, including MongoDB Knowledge of document-based and operational data models Data warehousing and/or data lake architecture Metadata, lineage, and data governance Cloud ...