London, South East, England, United Kingdom Hybrid/Remote Options
Involved Solutions
Strong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data More ❯
dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. What will you do? - Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions - Manage and enhance data lakes with S3, Athena, and Lake Formation- Implement robust data quality processes using Glue Data Quality - Design event-driven architectures with EventBridge More ❯
dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. What will you do? - Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions - Manage and enhance data lakes with S3, Athena, and Lake Formation - Implement robust data quality processes using Glue Data Quality - Design event-driven architectures with EventBridge More ❯
APIs to integrate with various systems. Work with SQL and NoSQL databases to store and retrieve data efficiently. Implement event-driven architectures using messaging systems like RabbitMQ and AWS Kinesis/SQS. Develop modern web interfaces using TypeScript and Angular. Contribute to code reviews and ensure adherence to coding standards and best practices. Collaborate with cross-functional teams to … systems. Front-End Development: Proficiency in TypeScript and Angular for building modern, responsive web interfaces. Messaging Systems: Experience working with message queues and streams, such as RabbitMQ and AWS Kinesis/SQS, to handle asynchronous communication. Desirable Skills Code Quality and Testing: A commitment to writing clean, maintainable code and a strong understanding of testing methodologies (unit, integration, end More ❯
