London, South East, England, United Kingdom Hybrid / WFH Options
Involved Solutions
Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced More ❯
Lead infrastructure, performance, and security initiatives across AWS. Mentor team members and help shape the future of the platform as the company scales. Tech Stack AWS (EKS, RDS, ElastiCache, Kinesis) Kubernetes & Docker Terraform, GitHub Actions, GitOps Ruby on Rails, Databricks Exposure to Datadog , Cloudflare , or scripting (Ruby, Python, Go) is a plus! About You Strong hands-on experience with 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 ❯
