76 to 100 of 111 NoSQL Jobs in Central London

ll have autonomy and trust What we’re looking for: 4+ years’ experience Extensive experience working with Python and frameworks Solid with SQL/NoSQL, REST APIs, and DevOps basics Clear communicator, self-starter Very nice to have: LLMs or voice tech experience Real-time systems knowledge AWS, security, or More ❯

want to miss out on! Experience needed: Strong BE exp with Node.JS and FE exp with React.JS Worked with Databases such as SQL and NoSQL Strong understanding of DevOps practices, and worked with AWS Event driven systems is a plus Benefits: Equity package 🌱 Private healthcare Flex work arrangements 25 days More ❯

business-critical team (Go, Kubernetes, Terraform, Azure), working directly on design and architecture and overseeing the core infrastructure. Desired Skills ⚙️ Go Kubernetes, Terraform SQL, NoSQL Java Azure Benefits 🏖 Health Insurance Mental Wellbeing Funds Discounted shares scheme If you are a skilled Developer (Go, Kubernetes, Terraform, Azure) who is interested in More ❯

Python. Ability to communicate effectively with Product, Design, and other Stakeholders to understand and break down complex problems. Strong experience with both SQL and NoSQL databases. Experience with Python FastAPI Microservices. Ready for your next move in the world of Python? #J-18808-Ljbffr More ❯

Java Developer (v11+), with an understanding of multithreading and concurrency. Solid knowledge of object-oriented programming and design patterns. Good grasp of relational and NoSQL Database technologies. Experience with risk management systems, trading applications or financial services is a plus. Familiarity with RESTful APIs, web services, and database technologies. Strong More ❯

ll Need 3+ years’ experience in data engineering or backend-focused software development. Strong Python and data manipulation libraries. Highly experienced with SQL and NoSQL databases. Experience working with cloud-based data tools (ideally GCP). Knowledge of ETL pipelines, data modelling, and distributed systems. An independent, solutions-oriented mindset More ❯

in London Market insurance or reinsurance is highly desirable. Skilled in stakeholder engagement, budgeting, and cross-team collaboration. Technical expertise across data (SQL/NoSQL), cloud systems, and front-end technologies (ReactJS, HTML/CSS). #J-18808-Ljbffr More ❯

of Quality Methods as they relate to IT Change Wide ranging systems experience including AWS (EC2, ECS, Cloudfront, S3, Lambda) , Database (SQL Server, PostgreSQL, NoSQL, DynamoDB), Containerised Architecture (Kubernetes, Rancher, Docker, ECS), Monitoring Tools (PRTG, Kibana, Cloudwatch), Scripting (PowerShell, Python), CI Tools (Octopus, TeamCity, CodeBuild), Active Directory/Office More ❯

and stored procedures. * Experience with strictly typed languages such as GoLang. * Experience with AWS solutions and services including ECS, Lambda and RDS. * Experience with NoSQL and big data. * Experience with Nexus GraphQL. * Implementing AI APIs in an ETL pipeline or similar workflows Interview process Stage 1: Quick intro call with More ❯

direct experience working with YOLO models being a major plus. Experience with large-scale data processing and database technologies such as MongoDB or other NoSQL databases. Practical knowledge of MLOps principles, including CI/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence More ❯

platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for … data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. More ❯

platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for … data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. More ❯

experience in Vue, Express or Sequelize Previous experience configuring, deploying, and monitoring applications and websites on AWS. You're comfortable working with relational and NoSQL databases, including complex queries and performance optimisation. Understand web design patterns, including SOLID principle and you have experience working in a collaborative, agile team environment. More ❯

of the individuals you work with across the organization.  Huge plus if you have expertise in Payments, IaaS, PaaS, serverless technology, CI/CD, NoSQL databases, microservices APIs, and distributed systems operations in a DevOps model.  Technical program delivery experience including time developing and testing software. More ❯

data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages More ❯

additional languages when required Essential Languages: Java (Minimum Level: Advanced) Desirable Background with multiple asset classes is an advantage Pricing analytics background Relational and NoSQL database experience KDB (ideal), Oracle, Sybase, Cassandra and other data technologies Previous exposure to: Electronic Trading Systems & Execution Platforms Execution & Hedging Algorithms Container frameworks and More ❯

They have a strong engineering culture in the London office, and as their Senior Developer, you’ll work with Java (17+), SpringBoot, Kotlin and NoSQL databases . They’ve got their own internal cloud and toolings using Prometheus and Grafana. As their Senior Developer, you’ll be: A key advocate More ❯

a consumer facing product suite will be beneficial. .Net Core, C# Angular 15+ HTML, CSS, Less/Sass SOA/Microservices TDD/BDD NoSQL or similar Please contact Neil Toms for a full spec and detailed conversation about the organisation and growth plans for this role. #J-18808-Ljbffr More ❯

to support decision-making. Collaborate with Data Engineering and Analytics teams to improve data sources and processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline development. Statistical analysis with R, SAS, Matlab. SQL and scripting More ❯

Ability to work with technical and non-technical teams and clearly communicate complex ideas. Experience selecting and implementing multiple data-platform patterns – relational warehousing, NoSQL, data-lakes – and matching each to business need. Proven experience designing and delivering enterprise-grade solutions across Cloud and on-premises solutions. Strong expertise with More ❯

a scalable architecture. Implement event-driven solutions using Kafka and other messaging technologies. Develop and deploy applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to manage and optimize data storage. Utilize containerization technologies such as Docker for efficient application delivery. Define and manage cloud infrastructure … in a microservice architecture (front-end and APIs) Experience of using Kafka and event-based architectures Experience of cloud hosting, specifically AWS Experience in noSQL DBs (specifically MongoDB) Experience in SQL DBs Experience of using containerisation (specifically Docker) Experience in writing Infrastructure as Code such as terraform to build and More ❯

day. Key Requirements: Excellent, proven .Net backend development experience Solid experience with Azure, including Azure Functions Experience with CosmosDB is preferred, but other equivalent NoSQL databases also OK Industry experience (Insurance) is not mandatory, but it may be helpful if you have worked in this space before More ❯

platforms like AWS or GCP. Contribute to CI/CD processes and containerization (e.g., Docker). Databases Develop and optimize SQL (PostgreSQL, MySQL) and NoSQL databases. Ensure data quality and performance. AI Tool Integration Use AI tools to streamline development and boost productivity. Share best practices for AI tool adoption … Node.js, TypeScript, and React. Comfortable building and consuming REST APIs; experience with GraphQL is a plus. Experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases. Familiar with cloud infrastructure (AWS or GCP), CI/CD, and Git. Bonus Points Experience with frontend state management libraries (e.g., Zustand, Redux). More ❯

APIs using Python and FastAPI. These APIs are critical for managing user authentication, datasets, model training, and our inference API. Managing and optimizing our NoSQL databases (MongoDB) and caching layers (Redis) to ensure low latency and high availability for all HUB services. Developing and maintaining our cloud infrastructure on Google … production-grade web services. Expert-level proficiency in Python and significant experience with modern web frameworks like FastAPI or Django. Hands-on experience with NoSQL databases, specifically MongoDB , and in-memory data stores like Redis . Deep understanding of containerization with Docker and orchestration with Kubernetes . Proven experience with More ❯

control and monitor delivery of data capabilities Working knowledge and experience of Agile delivery and a variety of technical architectures inc Relational DBs, Cloud, NoSQL, Messaging and API SOA Working knowledge of various tools including data visualisation, Ref Data & Master Data Mgt Experience in developing conceptual, logical, physical, and metadata More ❯