601 to 625 of 1,656 MongoDB Jobs in the UK

AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who can reason about complex systems and deliver clean, scalable code Excellent communication skills and ability to collaborate across technical and non-technical teams Nice to Have Hands More ❯

AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who can reason about complex systems and deliver clean, scalable code Excellent communication skills and ability to collaborate across technical and non-technical teams Nice to Have Hands More ❯

solutions. Strong understanding of Linux systems (RHEL, Amazon Linux 2) and cloud platforms (AWS services like EC2, S3, RDS, Lambda). Additional Skills: Proficiency in database systems (MySQL, Aurora, MongoDB) and messaging systems (SQS or equivalent). Ability to troubleshoot complex distributed systems in high-availability production environments. Strong problem-solving and collaboration skills to bridge development and operations teams More ❯

Gateway, Lambda functions, GraphQL, and Swagger. Experience with setting up CI/CD pipelines. Experience with basic DevOps such as different environments and deployment strategies. Experience with DynamoDB, PostgreSQL, MongoDB, and ElasticSearch. You’ve got more? Experience with micro frontends vs single SPA. Experience with unit and integration testing. Experience with Python or NodeJS. An interest in financial markets and More ❯

computer science, engineering or related field Minimum of 3 years of experience in data engineering roles Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB) Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue) Familiarity with programming languages such as Python or Java Understanding of data warehousing More ❯

AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who can reason about complex systems and deliver clean, scalable code Excellent communication skills and ability to collaborate across technical and non-technical teams Nice to Have Hands More ❯

experience with Node.js, Express.js, and back-end development best practices. Strong knowledge of RESTful API design and microservices architecture. Proficiency in working with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. Experience with CI/CD pipelines and DevOps practices, including automated testing and deployment strategies. Familiarity with monitoring and performance optimisation tools such as Datadog. You thrive when working More ❯

strong grasp of service-oriented architecture and microservices principles Awareness and some hands-on exposure to Microsoft Azure Foundational understanding of non-relational databases (NoSQL) - such as Cosmos DB, MongoDB, or similar A passion for your craft, and a desire to grow your career in modern software engineering Great communication skills - with the ability to engage both technical and non More ❯

concepts like CICD, Pipelines, SDLC Penetration testing knowledge (useful) Familiarity with Cloud Development Kit (CDK), GitOps Experience in DevOps/agile environments Docker, Kubernetes, serverless, Helm Platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, Databricks Analytical skills, attention to detail Research using vendor documentation Documentation skills Adversary mindset Continuous learning Problem-solving skills Communication and collaboration skills Relationship building across teams More ❯

resiliency, and security practices Solid understanding of key technologies such as cloud, AI/ML, or mobile platforms Backend expertise in Java, Spring Framework, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra) Preferred Qualifications Exposure to cloud technologies and services Experience designing and developing microservices-based architecture Commitment to continuous learning and innovation, especially in automation and modernization Familiarity with unit More ❯

strong grasp of service-oriented architecture and microservices principles Awareness and some hands-on exposure to Microsoft Azure Foundational understanding of non-relational databases (NoSQL) such as Cosmos DB, MongoDB, or similar A passion for your craft, and a desire to grow your career in modern software engineering Great communication skills with the ability to engage both technical and non More ❯

such as Python and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDb and Elastic Search. Designing enterprise-level applications, or analyzing raw data sets, using Snowflake. Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization. More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯

ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid More ❯