126 to 150 of 505 PostgreSQL Jobs in London

from Cambridge, MIT, and Google across Software Engineering, Data Science, Theoretical Physics, and Computational Geometry. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python for More ❯

services using TypeScript, React, and Node.js/NestJS. 🚀 Mobile Focus: Proficiency with React Native to lead the build-out of the mobile product. 💾 Database & Cloud: Experience with relational databases (Postgres preferred), clean API design, and cloud infrastructure (AWS, Docker, CI/CD). 🔒 Security Mindset: Familiarity with secure coding and data privacy principles, ideally within fintech or other regulated domains. More ❯

services using TypeScript, React, and Node.js/NestJS. 🚀 Mobile Focus: Proficiency with React Native to lead the build-out of the mobile product. 💾 Database & Cloud: Experience with relational databases (Postgres preferred), clean API design, and cloud infrastructure (AWS, Docker, CI/CD). 🔒 Security Mindset: Familiarity with secure coding and data privacy principles, ideally within fintech or other regulated domains. More ❯

experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations - Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with containerisation (Docker), CI/CD pipelines and observability/monitoring. Comfortable working directly with trading or business stakeholders to deliver pragmatic solutions. Nice to More ❯

for internal teams—integrated directly with on-the-ground workflows Systems to optimise KPIs like order accuracy, worker productivity, and inventory speed 🔧 Tech Stack Backend: Node.js, TypeScript, Express Data: PostgreSQL, MongoDB, event streams Infra: AWS (Lambda, DynamoDB, EventBridge), GCP, Docker, CI/CD pipelines Architecture: Serverless, microservices, event-driven Tooling: Monitoring, dashboarding, dev tooling, cloud infra automation ✅ What You Bring More ❯

experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with containerisation (Docker), CI/CD pipelines and observability/monitoring. Comfortable working directly with trading or business stakeholders to deliver pragmatic solutions. Nice to More ❯

stack using Java, Spring Boot, CI/CD, Kubernetes, AWS, EKS and Grafana/Splunk. About you: You have advanced backend software engineering experience with Java, Spring Boot, REST, Postgres, Redis You have experience of running production workloads on Kubernetes (Amazon EKS preferred) You have a good knowledge of DevOps practices including CI/CD, IaC (Terraform) and container orchestration More ❯

and generative AI technologies Communicate progress and technical insights clearly to stakeholders What We’re Looking For Strong technical background in TypeScript, React, Node.js, and Next.js Familiarity with GraphQL, Postgres, and Redis Experience using testing frameworks such as Jest and Cypress Solid understanding of CI/CD, DevOps , and cloud hosting (AWS, Docker, Pulumi, Heroku) Confident delivering features quickly and More ❯

practices - encryption, access control, compliance frameworks. Hands-on technical foundation in either software development (.NET/C# preferred) or infrastructure engineering. Beneficial Experience Exposure to Azure services: Cosmos DB, PostgreSQL, Redis Cache, Service Bus, Key Vault, Storage Accounts and PrivateLink integrations. Experience with monitoring tools (Grafana, Prometheus) and RESTful APIs (Postman). Awareness of cloud security tools such as CSPM More ❯

tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business that More ❯

scientific field Strong programming ability in C++ , Rust , Java , or Python Curiosity, discipline, and a willingness to learn across domains Useful Experience (Not Required) Docker, Kubernetes, or containerised environments PostgreSQL or other SQL databases Embedded or resource-constrained systems Machine learning or autonomy applications Mapping or visualisation frameworks (Cesium, Mapbox, Leaflet) Secure coding and OWASP-style best practices Benefits Mission More ❯

or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills — able to collaborate across technical and business More ❯

or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills - able to collaborate across technical and business More ❯

engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines More ❯

engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines More ❯

engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines More ❯

Looking For Solid Python and Linux/Unix experience for scripting, transformation, and automation tasks Strong SQL abilities, with additional exposure to document-based or NoSQL stores (e.g. MongoDB, Postgres) Strong grasp of core data architecture concepts including schema design and modelling principles Experience working in cloud environments (AWS or GCP ideal) Version control best practices (Git), plus familiarity with More ❯

Looking For Solid Python and Linux/Unix experience for scripting, transformation, and automation tasks Strong SQL abilities, with additional exposure to document-based or NoSQL stores (e.g. MongoDB, Postgres) Strong grasp of core data architecture concepts including schema design and modelling principles Experience working in cloud environments (AWS or GCP ideal) Version control best practices (Git), plus familiarity with More ❯

Looking For Solid Python and Linux/Unix experience for scripting, transformation, and automation tasks Strong SQL abilities, with additional exposure to document-based or NoSQL stores (e.g. MongoDB, Postgres) Strong grasp of core data architecture concepts including schema design and modelling principles Experience working in cloud environments (AWS or GCP ideal) Version control best practices (Git), plus familiarity with More ❯

mentoring. Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation More ❯

language (e.g. Python, Java, C++, C#) You're happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker You have an analytical mindset and enjoy problem solving You have experience of working in start-ups/SMEs and have good business acumen Ideally you will have More ❯

8+), Terraform, Typescript - Services: Rest API; Event-driven, Microservice, Serverless architecture - Principles: TDD, Agile, Pair Programming - CI/CD: Git, Docker, Bamboo - Cloud: AWS, Lambda, ECS - Databases/Storage: Postgres , Dynamo, DocumentDb, OpenSearch/Elastic, Redis - Monitoring: Cloudwatch, Kibana, Grafana, DataDog Qualifications Experience of working with the following tech; C# .NET (8+), Terraform, Typescript, AWS, CI/CD Dedication to More ❯

development tools such as Git, Terraform, GitLab, Jira, etc. Solid experience with developing in Linux environment Experience with complex data structures and database and analytics technologies such as Redis, Postgres, MySQL, DynamoDB and Apache Druid Ideally have experience of: C/C++, systemd, monit, cgroups/runc/libcontainer or docker Experience in adapting and improving engineering best practices (e.g. More ❯

decision making processes within the role Technology We're pragmatic about our technology choices. These are some of the things we use now: Python, NodeJS TypeScript, React,styled-components PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest AWS, GCP Docker, Terraform, GitHub, CircleCI How We Expect You To Work We expect you to work in these ways, as well More ❯

teams where necessary Your experience It'd be great if you have experience with: Backend technologies (e.g. Node.js, Go, Rust, etc.) Relational and Non-relational databases (e.g. ElasticSearch, Redis, PostgreSQL, etc.) System architecture approaches (e.g. microservices, event sourcing, serverless, CQRS ) Virtualisation and orchestration tools (e.g. VMs, Docker, Kubernetes, etc.) and infrastructure as code (e.g. Terraform, Pulumi) Test automation following Test More ❯