using AWS and Azure cloud technologies. Utilize AWS and Azure data and analytics services (or their open-source equivalents) such as EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Design and deploy production data pipelines using languages like Java, Python, Scala, Spark, and SQL. Integrate data engineering components … minimum of 2 years’ experience with AWS and Azure cloud technologies. Proficiency in AWS and Azure data and analytics services, including EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. A solid foundation in data engineering, data science, and product development, with experience in both stream and batch processing. more »
Transit Gateway, PrivateLink, Route53, ELB, Auto Scaling, WAF) Access Control (IAM, KMS, Certificate management) AWS Services (EC2, ECR, CodeArtifact, CloudWatch, Lambda, S3, API Gateway, Kinesis, RDS, MSK, Backup) Commercial experience with Terraform and AWS CloudFormation Implementing scalable, fault-tolerant, and highly available AWS architectures using IaC Designing and developing more »
services - PHP/Laravel currently migrating to Svelte/JavaScript Cloud - Azure (any cloud experience is good!) Databases - SQL Streaming - Azure event hubs, Kafka, Kinesis (any experience nice to have) If you are looking to work in a growing business that uses world class tech in an exchange trading more »
Used DataDog or equivalent to monitor highly observable systems in Production Have optimised performance issues in both non relational and relational databases Experience with Amazon services such as DynamoDB, Kinesis, Lambda, ECS/ECR, Opensearch (or Elasticsearch) Bonus Points for: Experience working with Terraform An Interest or experience more »
robust Back End systems using Node.js (min. 5 years experience) Build and implement APIs using WebSockets and API Gateway Integrate with AWS services including Kinesis Data Streams (experience highly desirable) Collaborate with Front End developers (experience with ReactJS a plus) Implement infrastructure as code using tools like Terraform Automate more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Proficiency more »
Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Proficiency more »
similar regulated environment. Technologies they use: Cloud: AWS with a preference for native and serverless services (e.g., API Gateway, AWS Lambda, AWS Step Functions, Kinesis, DynamoDB) Programming languages: Python for software engineering, Terraform, AWS SAM, and Cloud Formation for IaC Database: SQL (Postgres) and NoSQL (DynamoDB) APIs: Primarily RESTful …/CD: GitHub Actions, AWS CodePipeline, Jenkins, and tools such as Trivy, Bandit, Sonarqube, Dependabot, etc. Big data: AWS services like S3, Redshift, Glue, Kinesis The role is mostly remote but there is a requirement to head to either their London or North office once a week (some weeks more »
