23 of 23 Permanent Amazon Aurora Jobs in England

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data protection. Experience with database technologies such as SQL Server , AWS Aurora , MongoDB , and DynamoDB . Familiarity with Agile development methodologies (e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with More ❯

following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) - Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate APIs to enable smooth publishing and consumption of events across systems. -Collaborate with engineers on More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

compliance. Build and maintain CI/CD pipelines, monitoring tools, and cost optimisation strategies. Mentor and coach engineers on platform best practices. Tech Stack Highlights AWS (ECS, S3, DynamoDB, Aurora, OpenSearch) Pulumi (TypeScript) for infrastructure as code Kafka (Confluent Cloud) for event-driven architecture GitHub Actions for CI/CD DataDog for observability Containerised microservices architecture What We’re More ❯

AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape the future of 3D AI technology . A More ❯

SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge More ❯

customers to deliver the features they need. Some of the tech you'll be working with Languages & Frameworks: Node.js (TypeScript/JavaScript), Next.js, Dart/Flutter, C++, Bash. Databases: Aurora MySQL. Infrastructure: AWS (containers, serverless, storage, networking, CDN), Docker, Terraform. Observability: CloudWatch, OpenTelemetry, Sentry. CI/CD: GitHub Actions, AWS CodePipeline. Other: Integrations with common third-party APIs, such More ❯

a culture that values curiosity, autonomy, and experimentation - where developers are encouraged to explore new tools and ideas. Tech Environment React, Next.js, TypeScript, Tailwind .NET/C# APIs AWS, Aurora/Postgres Modern development tooling and automation (eg code assistants, DevOps pipelines) What You'll Bring Strong JavaScript/TypeScript experience (React or Next.js preferred) Understanding of .NET and More ❯

ability and a track record of meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career path, we want More ❯

Senior Back End Developer | & SQL (Aurora) | Data‐Heavy FinTech Platform You'll join a 50‐person, London/US SaaS scale‐up serving top‐tier investment firms with a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend … peer review Product mindset and ownership from build to deploy in an agile environment What You'll Work With Backend: (plus some Python, C++) Frontend: JavaScript ) & TypeScript Data: PostgreSQL (Aurora) & DynamoDB Cloud & CI/CD: AWS Lambda, GitHub Actions Nice to Haves Financial services or large‐scale market data experience Python & C++ Development experience Database partitioning/re‐architecture … team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply AAP Senior Back End Developer | & SQL (Aurora) | Data‐Heavy FinTech Platform More ❯

Python development within financial services in financial market data. You will play a senior, hands-on role in designing and developing scalable data solutions, working with Spark, AWS, and Aurora PostgreSQL to deliver a high-performance, cloud-native data platform. Key Responsibilities Design, build, and optimise data-driven solutions using Python in a financial markets environment Develop and maintain … distributed data pipelines using Spark and AWS-native services Work with Aurora PostgreSQL and other AWS data services for storage, querying, and analytics Integrate and process financial market data feeds (transactions, market/FX data, asset management systems) Contribute to the design and delivery of a new AWS-based data platform, ensuring scalability and performance Collaborate with data engineers … platform development Strong expertise in financial markets data (transaction feeds, private banking, asset management, trading platforms, FX) Hands-on experience with Apache Spark for distributed data processing Proficiency with Aurora PostgreSQL Strong working knowledge of AWS cloud services, especially for data engineering and platform builds Experience delivering in complex, data-intensive environments Excellent problem-solving skills, with ability to More ❯