76 to 100 of 479 NoSQL Jobs in England

and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and clean JavaScript code. Familiarity with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB), and an understanding of data modeling principles. Strong problem-solving skills and the ability to work independently or as part of a team. Excellent communication and collaboration skills More ❯

and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and clean JavaScript code. Familiarity with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB), and an understanding of data modeling principles. Strong problem-solving skills and the ability to work independently or as part of a team. Excellent communication and collaboration skills More ❯

e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or related field. More ❯

level proficiency in Git . Nice-to-Have Technical Skills: Experience with AWS infrastructure. Exposure to Microsoft Dynamics NAV integrations. Familiarity with Behaviour-Driven Development ( BDD ). Expertise with NoSQL databases. Experience with e-commerce platforms. Knowledge of modern frontend frameworks such as ReactJS . Expertise with Tableau or Power BI Soft Skills: Demonstrated experience in a Lead Developer or More ❯

interpersonal skills Experience as a Python Developer or in a similar role Strong understanding of software development principles, design patterns, and best practices Experience in RESTful APIs, web frameworks, NoSQL databases and serverless applications Strong understanding of version control systems and familiarity with CI/CD Pipelines Bachelor's degree in Computer Science, Software Engineering, or related fields Working knowledge More ❯

trained professional database engineers who build, deploy and operate database platforms in an SRE/DevOps manner. This team is responsible for operating the following platforms: MySQL, PostgreSQL, Oracle, NOSQL(MONGO, Cassandra) and Snowflake for TWDC. These workloads are running in all major CSPs as well as on premises hosting environments. This team manages the data platforms that operate some More ❯

version control (Git), and Agile methodologies. Organised, detail-oriented, and some experience in Agile methodology projects/sprints/stand ups/scrum etc. Experience with Golang, Flutter and NoSQL databases (Firestore, Cosmos DB, MongoDB) Prior work and familiarity with clients in industries such as finance, automotive, or technology is advantageous. Previous experience consulting, working as a freelancer or within More ❯

client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging More ❯

Proven ability to build, deliver, and support modern data platforms at scale Strong knowledge of data governance, data quality, and data cataloguing Experience with modern database technologies, including Iceberg, NoSQL, and vector databases Embraces innovation and works closely with scientists and partners to explore cutting-edge technology Knowledge of master data, metadata, and reference data management Understanding of Agile practices More ❯

and effective communication skills tailored to technical and non-technical audiences. Highly Desirable: Experience with Generative AI and LLMs for delivering advanced solutions Familiarity with diverse database types (SQL, NoSQL, graph, document, etc.) and selecting the right fit for specific use cases Knowledge of infrastructure automation using tools like Terraform, CloudFormation, or AWS CDK Exposure to front-end technologies (preferably More ❯

and effective communication skills tailored to technical and non-technical audiences. Highly Desirable: Experience with Generative AI and LLMs for delivering advanced solutions Familiarity with diverse database types (SQL, NoSQL, graph, document, etc.) and selecting the right fit for specific use cases Knowledge of infrastructure automation using tools like Terraform, CloudFormation, or AWS CDK Exposure to front-end technologies (preferably More ❯

microservices and event-driven). API Design : REST and gRPC, with versioning, throttling, auth, and schema validation (OpenAPI, Pydantic, Protobuf). Datastores : deep knowledge of RDBMS (PostgreSQL/MySQL), NoSQL (DynamoDB, Redis, Cassandra), and storage optimization techniques. Asynchronous Processing : familiarity with task queues (Celery, Sidekiq, SQS, Kafka consumers), cron orchestration, and idempotency. Developer Experience (DX) : creating internal platforms/dev More ❯

and API design/development . The ideal candidate will play a pivotal role in designing scalable and secure integration solutions across enterprise systems. Experience with MongoDB and other NoSQL databases is highly desirable. Key Responsibilities: Lead the architecture, design, and implementation of integration solutions using MuleSoft Anypoint Platform. Collaborate with business and technical stakeholders to define API-led connectivity More ❯

JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high More ❯

JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high More ❯

CD pipelines and automation in database deployments. Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Cloud certification (Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). More ❯

Essential Skills: 6-9 years of backend engineering experience Strong coding skills in Golang (preferred), Java, or another typed language Hands-on experience with RESTful APIs , microservices architecture , and NoSQL/Postgres Familiarity with CI/CD tools such as Jenkins and Git Clear communicator with strong teamwork and problem-solving skills Desirable Skills: Experience with Kafka, GraphQL, gRPC, Docker More ❯

.NET Core Frontend skills, ideally with TypeScript and React, but this is flexible Confident working with APIs and modern infrastructure (Kubernetes, Docker, Azure or AWS) Experience with SQL/NoSQL databases and Git version control Understanding of REST principles, SOLID design, TDD, Agile, CI/CD, and DevOps ways of working What's in It for You: Hybrid working and More ❯

CD), feature flags, and automated testing. Bonus Skills: Experience with message-driven systems (e.g., Google Pub/Sub). Proficiency in relational databases (RDBMS), particularly with Postgres. Familiarity with NoSQL databases (document store/key-value store) is a plus. Experience with containerization technologies (Docker, Kubernetes). Hands-on experience with Google Cloud Platform (GCP) and configuration management (ideally using More ❯

Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data More ❯

of modern Domain Driven Design or similar methodologies Knowledge of SOLID principles and Test Driven Development Experience with Cloud platforms in either Azure of AWS. Familiar with SQL and NoSQL databases Familiar with Agile, DevOps, Gitops and CI/CD pipelines Preferred qualifications Experience with Server-Driven UI Experience with Web Assembly (WASM), Service Workers and Progressive Web Apps Experience More ❯

or Azure • Containerisation using Docker or Kubernetes • Experience with Ansible or other configuration management tools • Exposure to machine learning platforms (Azure ML, TensorFlow, Amazon SageMaker) • Working with relational or NoSQL databases (document, graph, or RDBMS) Platform Engineer - Key Benefits: • Clear career progression within the National Security & Gov space • Flexible hybrid working & generous benefits package • Be part of meaningful projects with More ❯

and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR More ❯

pipelines (GitLab preferred), automated testing, Kubernetes, Docker, and cloud-native practices. Experience developing microservices architectures, ideally with Spring Boot, and working with distributed messaging patterns. Some database experience with NoSQL and relational databases handling large data volumes. Experience deploying systems on major cloud providers like AWS or Azure. Passion for agile, DevSecOps, incremental delivery, and continuous improvement. A self-starter More ❯

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