301 to 325 of 791 MongoDB Jobs in the UK excluding London

features that are responsive on all devices, using modern tools like React JS. Data & Hosting: Manage the application's storage (like MySQL and MongoDB) and help put the final application online in the AWS cloud. Quality Check: Write automated tests to ensure the software works perfectly and has no bugs. ...

requirements into actionable tasks Monitor and optimise system performance for reliability and efficiency Required Skills Apache Kafka Apache NiFi SQL and NoSQL databases (e.g., MongoDB) ETL/ELT development with Groovy, Python, or Java About the Employer With over 60 years of experience supporting government and defence programmes, this employer ...

workflows Implement prompt engineering, function-calling logic, and vector database usage when needed Data & System Integration Work with data sources such as PostgreSQL, MySQL, MongoDB, Airtable, Notion, or spreadsheets Parse and transform data in JSON, SQL, or via custom parsing logic Ensure clean, consistent data flows between systems Maintenance & Continuous ...

requirements into actionable tasks Monitor and optimise system performance for reliability and efficiency Required Skills Apache Kafka Apache NiFi SQL and NoSQL databases (e.g., MongoDB) ETL/ELT development with Groovy, Python, or Java About the Employer With over 60 years of experience supporting government and defence programmes, this employer ...

work full time on site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . ...

work full-time on-site in Manchester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies ...

work full-time on-site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies ...

product champion for key business applications, offering support, training and documentation. Administering a range of database technologies including MySQL/MariaDB, PostgreSQL, SQLite, MongoDB and Redis. Overseeing monitoring and alerting systems to ensure high application availability. Supporting deployments and upgrades with thorough checks, backups and rollback planning. Cross-Team Collaboration ...

huge plus for this role along with MongoDB. The following are essentials for this role: Python, NodeJS, API Services/Processing Important: MongoDB, Containers/Docker Familiarity, HTML/CSS/JavaScript Nice to have: Databricks, VueJS We're also keen to have applications from individuals with Retail industry experience ...

huge plus for this role along with MongoDB. The following are essentials for this role: Python, NodeJS, API Services/Processing Important: MongoDB, Containers/Docker Familiarity, HTML/CSS/JavaScript Nice to have: Databricks, VueJS We’re also keen to have applications from individuals with Retail industry experience ...

based orchestration, cloud-native ETL tools, messaging-based ingestion). Deep understanding of data engineering concepts, with hands-on experience in SQL Server, MongoDB, Synapse, Fabric, and Snowflake. Familiarity with card-processing systems, scheme integrations, authorisation flows, transaction life cycles, and settlement processes; knowledge of cryptographic key migrations like ...

Infrastructure as Code and GitOps patterns in order to manage cloud infrastructure. Ideally, you are familiar with Terraform. Familiarity with database engines such as MongoDB or PostgreSQL Familiarity with large data and data warehouses/lakehouses, ideally with Databricks. Familiarity with FinOps concepts and processes. A strong understanding of software ...

Infrastructure as Code and GitOps patterns in order to manage cloud infrastructure. Ideally, you are familiar with Terraform. Familiarity with database engines such as MongoDB or PostgreSQL Familiarity with large data and data warehouses/lakehouses, ideally with Databricks. Familiarity with FinOps concepts and processes. A strong understanding of software ...

with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control ...

have a full job spec but the requested skills are: SQL/PLSQL RAC Data Guard Of further benefit: PostGresSQL MongoDB MySQL AWS RDS/Aurora/Dynamo DB AWS DMS If you hold the required . . click apply for full job details ...

have a full job spec but the requested skills are: SQL/PLSQL RAC Data Guard Of further benefit: PostGresSQL MongoDB MySQL AWS RDS/Aurora/Dynamo DB AWS DMS If you hold the required clearance and feel you have the skills and experience needed for this role; please ...

structured, accessible and future proof Skills and Experience Essential: Strong SQL experience such as MS SQL or Oracle Experience with NoSQL technologies such as MongoDB, InfluxDB or Neo4J ETL, ESB, API or similar data integration experience Development experience such as Python Exposure to big data tools or architectures such ...

Frontend: React.js (including Next.js, TypeScript, Tailwind) Backend: .NET Core (C#), exposing RESTful APIs AI Tools: LLM, Claude, LLAMA, Palm Database: Microsoft SQL Server and MongoDB Infrastructure: AWS (ECS with Fargate), provisioned using Terraform. CI/CD: GitHub Actions This is a rare chance to join a company at the ground ...

Frontend: React.js (including Next.js, TypeScript, Tailwind) Backend: .NET Core (C#), exposing RESTful APIs AI Tools: LLM, Claude, LLAMA, Palm Database: Microsoft SQL Server and MongoDB Infrastructure: AWS (ECS with Fargate), provisioned using Terraform. CI/CD: GitHub Actions This is a rare chance to join a company at the ground ...

design, develop, test, and deliver high-quality applications and services. Apply deep expertise in one or more of the following: NoSQL databases (e.g., DocumentDB, MongoDB) RDF/graph technologies (e.g., GraphDB) AI/ML platforms (e.g., SageMaker, Bedrock) Search technologies (e.g., Solr, OpenSearch, Elasticsearch) Cloud-based data pipeline engineering ...

design, develop, test, and deliver high-quality applications and services. Apply deep expertise in one or more of the following: NoSQL databases (e.g., DocumentDB, MongoDB) RDF/graph technologies (e.g., GraphDB) AI/ML platforms (e.g., SageMaker, Bedrock) Search technologies (e.g., Solr, OpenSearch, Elasticsearch) Cloud-based data pipeline engineering ...

edge solutions to our internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge ...

edge solutions to our internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge ...

edge solutions to our internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge ...

Tech Stack (Modern & Simple): Core: Python and/or TypeScript. Infrastructure: Azure (Functions, Containers), Kubernetes (managed simply for deployment, not complexity). Data: MongoDB Atlas. AI: Integration of LLM/AI components into a B2B workflow. (beneficial) Philosophy: Event-driven components, CI/CD automation, "boring" tech where possible ...