1 to 25 of 84 NoSQL Jobs in the Thames Valley

and frameworks such as Python, NodeJS, Next.js, Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures using both More ❯

or similar. Strong front-end development skills with HTML, CSS, JavaScript, and experience with frameworks like React or Angular. Solid understanding of database systems and experience with SQL or NoSQL databases. Knowledge of RESTful API design and microservices architecture. Familiarity with Git and version control workflows. Preferred Skills Experience with Agile methodologies and tools like Jira. Familiarity with CI/ More ❯

in sprint planning, code reviews, and team knowledge-sharing sessions. Tech Stack ->TypeScript ->Next.js ->Node.js ->GCP ->AWS (ML) ->CI/CD with GitHub actions and workflows ->SQL (PostgreSQL, MySQL) ->NoSQL (MongoDB, Firestore, Redis) ->RESTful APIs - GraphQL Requirements for Tech For Good (Audio Intelligence) | Innovative Products | Mid-Level (Back End Leaning) Full Stack Engineer | TypeScript/Next.js/Node.js | £50K - £65K More ❯

Skills & Experience Strong experience with Java (Spring Boot) and React Familiarity with containerisation and orchestration (Docker, Kubernetes) Understanding of microservice architecture and domain-driven design Experience with SQL and NoSQL databases (PostgreSQL, MongoDB) Knowledge of cloud platforms , ideally AWS and/or Azure Strong communication and collaboration skills - comfortable engaging with both technical and non-technical stakeholders Motivated, adaptable, and More ❯

Technical Skills Proficient in back-end development using .NET . Strong understanding of microservices architecture and cloud-based systems . Solid knowledge of database design (relational and/or NoSQL). Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration). Proficiency with Git for version control and JIRA for agile More ❯

such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. •Familiarity with SQL and NoSQL databases. •Understanding of data privacy and security concepts. • Ways of Working: •Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. •Experience using Agile collaboration More ❯

tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working More ❯

tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working More ❯

years’ professional software engineering experience Strong experience delivering production-grade web applications with React and Next.js Solid backend skills, preferably in Python , with good understanding of both relational and NoSQL databases Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis Experience with containerisation (Docker, Kubernetes), asynchronous More ❯

datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience More ❯

team to understand business requirements, dependencies and timelines; Your professional experience Minimum of 8 years experience building products Software development experience working with the following: .NET 8+ ; SQL or NoSQL databases (SQL Server or MongoDB preferred); Front-end technologies ( HTML5, CSS, Javascript frameworks – Angular 18+ preferred); Cloud services ( Azure preferred); Containerisation; Infrastructure-as-code ( Azure Bicep preferred); Kubernetes preferred; Familiar More ❯

across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform More ❯

environment. What You’ll Do - Build and scale cloud native systems with performance and security in mind - Develop with TypeScript, React/Next.js, Node.js and Python - Manage SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) - Deploy to Google Cloud (GCP) using Docker, Kubernetes and CI/CD pipelines - Work closely with designers, product leads and fellow engineers What You’ll More ❯

projects forward Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills More ❯

Terraform, Ansible, or Pulumi. Hands-on experience with UNIX/Linux systems and modern DevOps toolchains. Working knowledge of GitOps (e.g., ArgoCD, FluxCD). Familiarity with both SQL and NoSQL databases. Strong containerization background (Kubernetes, Docker) and associated tooling (Helm, Kustomize). Practical understanding of cloud security, networking protocols, and secure deployments. Experienced in observability stacks—logging (e.g., ELK), monitoring More ❯

team player, you'll bring experience in most of the following: Tech Stack C# .NET Core React & TypeScript Web API Docker/Kubernetes AWS or Azure Git SQL/NoSQL Ways of Working Agile/Scrum TDD, CI/CD, DevOps SOLID principles RESTful API design What’s in it for you? Salary up to £70,000 depending on experience More ❯

Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative, fast-paced environment. ✨ Nice-to-haves: Experience with Generative AI/LLMs in applied engineering contexts. Exposure to More ❯

security experts. Essential Skills & Qualifications: Proven experience designing and implementing modern data architectures in cloud environments. Strong understanding of data modelling (conceptual, logical, and physical), including relational, dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant More ❯

optimizing production-grade APIs (REST/GraphQL) for both internal and external consumption. Data Systems: Experience with optimizing database queries and schema design for both relational (PostgreSQL, MySQL) and NoSQL/Time-Series databases (e.g., DynamoDB, TimescaleDB) under high-throughput conditions. Scale & Performance Focus Experience building systems that efficiently handle millions of requests/events per day with stringent latency More ❯

experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability to influence technical direction across teams. You More ❯

datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience More ❯

a true team player, you'll bring experience in most of the following: Tech Stack C# .NET Core Web API Docker/Kubernetes AWS or Azure Git SQL/NoSQL Ways of Working Agile/Scrum TDD, CI/CD, DevOps SOLID principles RESTful API design What’s in it for you? Salary up to £60,000 depending on experience More ❯

such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and NoSQL databases, with a strong understanding of data modelling and integration. Experience building APIs (REST, gRPC) and working with containerised environments (Docker, Kubernetes). Solid grasp of distributed systems, networking, and More ❯

optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud native risk systems that calculate and distribute option sensitivities and More ❯