676 to 700 of 783 MongoDB Jobs in the UK

software with the use of DevOps techniques The skills you'll need Coding is KEY to this role with essential skills in Java, Postgres, MongoDB, AWS (essential), and Snowflake. Significant experience in software engineering , along with significant and demonstrable experience in designing and delivering large-scale enterprise web applications , with … deep expertise in Java, Spring Boot Microservices, ReactJS, SQL, Databases, MongoDB, DevOps, CI/CD and Test Automation. Experience implementing programming best practices, especially around scalability, automation, virtualisation, optimisation, availability and performance. Ability to shape technical direction, uplift engineering standards and drive meaningful impact across the client’s digital capabilities. ...

responsible for developing, testing, debugging, and troubleshooting clean, web standards compliant solutions written in Java. Our Tech Stack includes Java, Spring Boot, Cassandra, MongoDB, Redis, Apache Ignite, Kafka, PostgreSQL, Nginx. (check details from Stack Share Profile ) Requirements BSc or MSc degree in Computer Science, Computer Engineering, Software Engineering or related … Reactive programming and Spring Reactor experience is preferred) Experience in developing with microservice architectures Experience with Continuous Integration and Delivery pipelines NoSQL database experience ( MongoDB and/or Cassandra is preferred) Hands-on experience with event-driven architectures and complex event processing frameworks (e.g. Flink, Kafka Streams, Esper) to derive ...

workflowsFeature flags/experiments where appropriateStructured logging and telemetryDesign and implement data pipelines and data models to support analytics, using SQL Server and MongoDB as core sources.Build and maintain dashboards and reports to trackPerform exploratory data analysis to surface insights Profil Skills & ExperiencerequiredStrong commercial experience developing productionsystems with:.NET/… C#ASP.NET Core or equivalent web frameworksAngular (or similar modern SPA framework)SQL Server (schema design, complex queries,performance tuning)MongoDB (or equivalent NoSQL document store)RESTful APIs; NServiceBus or equivalent messagingframework.Proven experience in data analysis and/or analyticsengineering:Comfortable writing complex SQL for reporting andanalysis.Experience modelling event and usage ...

Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews … Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews ...

workflowsFeature flags/experiments where appropriateStructured logging and telemetryDesign and implement data pipelines and data models to support analytics, using SQL Server and MongoDB as core sources.Build and maintain dashboards and reports to trackPerform exploratory data analysis to surface insights Profil Skills & ExperiencerequiredStrong commercial experience developing productionsystems with:.NET/… C#ASP.NET Core or equivalent web frameworksAngular (or similar modern SPA framework)SQL Server (schema design, complex queries,performance tuning)MongoDB (or equivalent NoSQL document store)RESTful APIs; NServiceBus or equivalent messagingframework.Proven experience in data analysis and/or analyticsengineering:Comfortable writing complex SQL for reporting andanalysis.Experience modelling event and usage ...

We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest ...

Job DescriptionWe now have an exciting opportunity for a Senior Software Engineer to join the Operational and Regulatory Technology department for an award-winning investment platform, offering a collaborative team working environment, training and excellent ...

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad ...

For additional information, please review .**Characteristics:****Experience:*** Proven experience as an Engineering Lead, Software Engineering Manager, or similar role.* Strong expertise in multiple programming languages (preferably Python, Go, and TypeScript), frameworks, and tools.* Strong ...

# Product EngineerStrideUp Full TimeLondon, England, United KingdomShare:## Job Description## **Description**StrideUp is leading a new era of values-driven finance. Ranked the 5th fastest growing fintech in the UK and Ireland in 2025 ...

Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Lead Data Engineer at JPMorgan Chase within the GIB ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

live migration tooling, and automated parallel-run and diff-on-read testing. What you will be doing Emphasis varies by role and programme, but MongoDB is the common thread. Every one of these engagements involves modelling for it, migrating onto it, or building on top of it, and genuine depth … front of both engineering and non-technical stakeholders, including client technical authorities and third-party suppliers • Analyse real access patterns and validate target MongoDB document models against genuine throughput, query and sharding requirements before they are baselined • Design integration boundaries in multi-vendor programmes where you own one component ...

production Java services and RESTful APIs (Spring Boot or similar), designed for integration by multiple consuming systems and documented to OpenAPI Design and implement MongoDB document models, aggregation pipelines, indexing and sharding strategies, and integrate them cleanly into Java service layers rather than through a leaky abstraction Build data pipelines … streaming ingest, transformation frameworks, checkpointed batch extract workers, and MongoDB sink configuration and tuning at terabyte scale Implement access control, encryption and audit within the application and data layer, including enforcement inside the MongoDB query path, rather than bolted on around it Write the tests: unit, integration, golden-record fixtures ...

production Java services and RESTful APIs (Spring Boot or similar), designed for integration by multiple consuming systems and documented to OpenAPI • Design and implement MongoDB document models, aggregation pipelines, indexing and sharding strategies, and integrate them cleanly into Java service layers rather than through a leaky abstraction • Build data pipelines … streaming ingest, transformation frameworks, checkpointed batch extract workers, and MongoDB sink configuration and tuning at terabyte scale • Implement access control, encryption and audit within the application and data layer, including enforcement inside the MongoDB query path, rather than bolted on around it • Write the tests: unit, integration, golden-record fixtures ...

production Java services and RESTful APIs (Spring Boot or similar), designed for integration by multiple consuming systems and documented to OpenAPI • Design and implement MongoDB document models, aggregation pipelines, indexing and sharding strategies, and integrate them cleanly into Java service layers rather than through a leaky abstraction • Build data pipelines … streaming ingest, transformation frameworks, checkpointed batch extract workers, and MongoDB sink configuration and tuning at terabyte scale • Implement access control, encryption and audit within the application and data layer, including enforcement inside the MongoDB query path, rather than bolted on around it • Write the tests: unit, integration, golden-record fixtures ...

production Java services and RESTful APIs (Spring Boot or similar), designed for integration by multiple consuming systems and documented to OpenAPI • Design and implement MongoDB document models, aggregation pipelines, indexing and sharding strategies, and integrate them cleanly into Java service layers rather than through a leaky abstraction • Build data pipelines … streaming ingest, transformation frameworks, checkpointed batch extract workers, and MongoDB sink configuration and tuning at terabyte scale • Implement access control, encryption and audit within the application and data layer, including enforcement inside the MongoDB query path, rather than bolted on around it • Write the tests: unit, integration, golden-record fixtures ...

production Java services and RESTful APIs (Spring Boot or similar), designed for integration by multiple consuming systems and documented to OpenAPI • Design and implement MongoDB document models, aggregation pipelines, indexing and sharding strategies, and integrate them cleanly into Java service layers rather than through a leaky abstraction • Build data pipelines … streaming ingest, transformation frameworks, checkpointed batch extract workers, and MongoDB sink configuration and tuning at terabyte scale • Implement access control, encryption and audit within the application and data layer, including enforcement inside the MongoDB query path, rather than bolted on around it • Write the tests: unit, integration, golden-record fixtures ...

production Java services and RESTful APIs (Spring Boot or similar), designed for integration by multiple consuming systems and documented to OpenAPI • Design and implement MongoDB document models, aggregation pipelines, indexing and sharding strategies, and integrate them cleanly into Java service layers rather than through a leaky abstraction • Build data pipelines … streaming ingest, transformation frameworks, checkpointed batch extract workers, and MongoDB sink configuration and tuning at terabyte scale • Implement access control, encryption and audit within the application and data layer, including enforcement inside the MongoDB query path, rather than bolted on around it • Write the tests: unit, integration, golden-record fixtures ...