276 to 300 of 464 Remote PostgreSQL Jobs

Who Has a STEM background and lives in Python. Loves solving real-world data and finance challenges. Enjoys seeing your work have measurable, immediate impact. Maybe dabbles with Flask, PostgreSQL, or React. Is curious about AI/ML, or has tinkered with Docker and AWS. Whats In It For You Unlimited leave (really) Remote-first, with a day in Mayfair More ❯

use • Taking part in code reviews and sharing ideas with the team • Continuously improving how we work in an Agile environment Tech stack Python | FastAPI | Django | AWS | Kubernetes | Terraform | PostgreSQL | OpenSearch | GitHub What we’re looking for • Strong experience building backend systems, ideally with Python • Good understanding of databases, data structures and SOLID principles • A problem-solver who enjoys working More ❯

use • Taking part in code reviews and sharing ideas with the team • Continuously improving how we work in an Agile environment Tech stack Python | FastAPI | Django | AWS | Kubernetes | Terraform | PostgreSQL | OpenSearch | GitHub What we’re looking for • Strong experience building backend systems, ideally with Python • Good understanding of databases, data structures and SOLID principles • A problem-solver who enjoys working More ❯

suitable Graduate/Junior Developer who have recently graduated from university and have a basic understanding of any of the following technologies: Python, JavaScript, PHP, React, React Native, Django, Postgres, Docker and Agile; which might have been acquired as part of your degree course or through a placement year in industry. All Graduate/Junior Developer positions come with the More ❯

development and data infrastructure. While not everything listed is essential, youll ideally be familiar with: AWS TypeScript, React, Node.js C# and Python services Data stores such as Redshift, DynamoDB, Postgres, Elasticsearch, S3 Snowflake as a central part of a modern data platform This is a brilliant opportunity to take a lead role in shaping a forward-thinking data platform that More ❯

and data infrastructure. While not everything listed is essential, you’ll ideally be familiar with: AWS TypeScript, React, Node.js C# and Python services Data stores such as Redshift, DynamoDB, Postgres, Elasticsearch, S3 Snowflake as a central part of a modern data platform This is a brilliant opportunity to take a lead role in shaping a forward-thinking data platform that More ❯

genuinely passionate about real-world engineering not just building software, but helping change how things are designed and built. Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows Work closely with More ❯

genuinely passionate about real-world engineering not just building software, but helping change how things are designed and built. Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows Work closely with More ❯

with the right aptitude towards growth. Tech Stack Backend: C# .NET (event-driven, domain-driven design) Frontend: Angular Infrastructure: AWS (EKS), Docker, Terraform (Azure background also welcome) Databases: MongoDB, PostgreSQL Platform is mature and stable and most work is forward-facing (new features and integrations) Interview Process Intro Interview – With Lead Engineer Tech Assignment – 1-2 hour take home coding More ❯

team culture. This Lead Engineer should have most of the following key skills Strong Data engineering skills including ETL pipeline creation, data warehousing and visualization Strong database architecture understanding – PostgreSQL, MongoDB, MS SQL Event sourcing/messaging – Kafka, CQRS etc Experience working in a high growth, product focussed business within small cross functional engineering teams Solid cloud provisioning – GCP, Azure More ❯

points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion, Linear Comms: Slack, Zoom, Around If you're a seasoned engineer who thrives in a leadership role and enjoys building great products with More ❯

team culture. This Lead Engineer should have most of the following key skills - Strong Data engineering skills including ETL pipeline creation, data warehousing and visualization - Strong database architecture understanding - PostgreSQL, MongoDB, MS SQL - Event sourcing/messaging - Kafka, CQRS etc - Experience working in a high growth, product focussed business within small cross functional engineering teams - Solid cloud provisioning - GCP, Azure More ❯

points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion, Linear Comms: Slack, Zoom, Around If you're a seasoned engineer who thrives in a leadership role and enjoys building great products with More ❯

pipelines Deep understanding of REST API testing and validation Experience with Selenium, Playwright, Cypress, or similar frameworks Fintech/Financial services industry experience (required) Solid database testing experience (SQL, PostgreSQL) Ability to understand business logic (e.g., ledger validation) and translate into test cases Comfortable working under pressure and adapting across languages and tech stacks Day-to-Day Responsibilities Take ownership More ❯

for AI development, data processing, and API integration. Solid understanding of AI system design, prompt engineering, and model fine-tuning. Experience working with SQL and modern data ecosystems (GCP, PostgreSQL, or similar). Background in machine learning, NLP, or AI workflow automation. NICE TO HAVE: Experience integrating AI models into production systems using GCP, AWS, or Azure. Familiarity with vector More ❯

as EC2, ECS, EKS, Lambda, VPC, Route53, S3, RDS, and CloudWatch • Scripting skills in Python and Bash • Understanding of Linux systems and database technologies (e.g., Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx) • Experience in planning and executing system integrations and migrations • Proven ability to work effectively in cross-functional teams, particularly alongside software development and DevOps functions • Awareness of IT Security More ❯

role. Strong understanding of SaaS platforms and web technologies. Experience with: APIs & Testing Tools: Postman or similar Cloud Platforms: AWS (EC2, S3, RDS, API Gateway, Lambda, DynamoDB) Databases: SQL (Postgres or similar) Data Formats: JSON, XML Data Handling: Advanced Excel for analysis and manipulation Excellent communication skills and confidence in customer-facing situations. Strong analytical mindset with attention to detail More ❯

for quality through Agile practices. Ensure clean, testable, and well-documented code. Our Tech Stack You'll be working primarily with: Python (FastAPI, Django) AWS (Lambda, EC2, S3, etc.) PostgreSQL , Opensearch Kubernetes , Helm , Terraform GitHub for version control We're pragmatic about tools and open to exploring new technologies that help us build better, faster, and smarter. What You'll More ❯

as EC2, ECS, EKS, Lambda, VPC, Route53, S3, RDS, and CloudWatch * Scripting skills in Python and Bash * Understanding of Linux systems and database technologies (e.g., Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx) * Experience in planning and executing system integrations and migrations * Proven ability to work effectively in cross-functional teams, particularly alongside software development and DevOps functions * Awareness of IT Security More ❯

modelling experience (ERwin/ER/Studio/PowerDesigner) Cloud & big data expertise: batch + streaming ingestion, CI/CD (Azure DevOps, Terraform, AWS CodePipeline), cloud DBs (SQL Server, PostgreSQL, Oracle, Redshift, Synapse) Proficiency with Power BI , Tableau , or Qlik Advantageous: experience within Banking, Insurance, BFI, or Retail 💼 What’s On Offer Competitive salary + strong bonus scheme Private healthcare More ❯

modelling experience (ERwin/ER/Studio/PowerDesigner) Cloud & big data expertise: batch + streaming ingestion, CI/CD (Azure DevOps, Terraform, AWS CodePipeline), cloud DBs (SQL Server, PostgreSQL, Oracle, Redshift, Synapse) Proficiency with Power BI , Tableau , or Qlik Advantageous: experience within Banking, Insurance, BFI, or Retail 💼 What’s On Offer Competitive salary + strong bonus scheme Private healthcare More ❯

. Excellent communication skills and the ability to work collaboratively across teams. A methodical and pragmatic approach to problem-solving. Highly Desirable: Experience with open-source RDBMS such as PostgreSQL, MySQL, MongoDB. Familiarity with the Redgate Suite of tools (Backup Pro, SQL Monitor, SQL Toolbelt). Benefits: 31 days annual leave (plus bank holidays), with the option to purchase up More ❯

Ensure all systems and environments comply with internal policies, controls, and security standards. Key Skills & Experience: Essential: • Strong hands-on experience with Linux technologies including Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx, Postfix, and Git • Experience with configuration and automation tools such as Puppet, Ansible, Terraform, and Ninja • Solid understanding of AWS services, ideally including EC2, ECS, Lambda, VPC, Route53, S3 More ❯

startup or fast-moving product environment Deep understanding of modern cloud architectures, IoT systems, and data pipelines with hands-on experience in AWS (IoT, Kinesis, Lambda) Strong proficiency with PostgreSQL and handling time-series or analytical data as well as programming skills in TypeScript and Python Solid hands-on experience with infrastructure as code (Terraform and CDK or CDKTF), observability More ❯

both the product and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using More ❯