13 of 13 Part-Time NoSQL Jobs in the North West

Experience with headless CMS platforms such as Contentful. Experience of modern tooling such as Vite and Vitest. Familiarity with microservices architecture and API development (REST, GraphQL). Working with NoSQL MongoDB or SQL databases such as Postgres. Experience with mobile app development using React Native. Knowledge of UI component libraries like Material UI, and tools such as Figma and Storybook. More ❯

commercial experience with React, Next.js, Node.js, and JavaScript Solid understanding of back-end development and API design Experience working with cloud platforms (preferably AWS) Familiarity with both SQL and NoSQL databases (e.g. PostgreSQL, MongoDB) Understanding of Git, CI/CD pipelines, and secure coding practices Proven ability to work independently and within a fast-paced, agile team Strong problem-solving More ❯

software environment. Strong background in .NET, cloud-native development (AWS or Azure) , and event-driven microservices . Deep understanding of API design, containerisation (Docker/Kubernetes) , and SQL/NoSQL database technologies. A passion for simplification, scalability, and pragmatic delivery. Strong stakeholder management and communication skills across technical and business audiences. Hands-on, delivery-focused approach you take ownership from More ❯

of our clients architecture, scalability and security. Key Requirements: Strong hands-on Python experience with a solid understanding of modern data tools. Extensive experience working with both SQL and NoSQL databases. Exposure to cloud services, infrastructure as code and CI/CD pipelines. Strong understanding of data modelling and API development. Excellent communication skills with a collaborative approach to development. More ❯

of our clients architecture, scalability and security. Key Requirements: Strong hands-on Python experience with a solid understanding of modern data tools. Extensive experience working with both SQL and NoSQL databases. Exposure to cloud services, infrastructure as code and CI/CD pipelines. Strong understanding of data modelling and API development. Excellent communication skills with a collaborative approach to development. More ❯

of our clients architecture, scalability and security. Key Requirements: Strong hands-on Python experience with a solid understanding of modern data tools. Extensive experience working with both SQL and NoSQL databases. Exposure to cloud services, infrastructure as code and CI/CD pipelines. Strong understanding of data modelling and API development. Excellent communication skills with a collaborative approach to development. More ❯

of our clients architecture, scalability and security. Key Requirements: Strong hands-on Python experience with a solid understanding of modern data tools. Extensive experience working with both SQL and NoSQL databases. Exposure to cloud services, infrastructure as code and CI/CD pipelines. Strong understanding of data modelling and API development. Excellent communication skills with a collaborative approach to development. More ❯

of our clients architecture, scalability and security. Key Requirements: Strong hands-on Python experience with a solid understanding of modern data tools. Extensive experience working with both SQL and NoSQL databases. Exposure to cloud services, infrastructure as code and CI/CD pipelines. Strong understanding of data modelling and API development. Excellent communication skills with a collaborative approach to development. More ❯

and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable … knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and More ❯

and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable … knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and More ❯

and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable … knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and More ❯

and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable … knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and More ❯

and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable … knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and More ❯