assumptions, and ensure delivery of meaningful solutions Tech Stack: Cloud: GCP, AWS, Azure Languages: Python, TypeScript, JavaScript Frameworks: Django Rest Framework, Vue.js, container-based and serverless architectures Databases: MongoDB, DynamoDB Tooling & Monitoring: GitHub Actions, CircleCI, Kubernetes, Celery, EventBridge, DataDog Immediate starts available. Candidates must be based in the UK and have full working rights. Sponsorship is not available. InterQuest More ❯
like React, and Chakra UI must have SME level knowledge in AWS cloud infrastructure, and the ability to lead on building a resilient back-end with AWS services (Lambda, DynamoDB, SQS, API Gateway). Extensive experience with provisioning infrastructure using Terraform specifically, and building full infrastructure as code coverage. Someone who has had good experience leading a range of More ❯
ensure data requirements are captured and delivered effectively. Optimise data workflows, pipelines, and integration processes. Ensure best practices in data governance, security, and compliance. Technical Skills Required: Databases: Redis DynamoDB Oracle PostgreSQL Tools & Technologies: Power BI Informatica Python Dynatrace RUM PEGA AES Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and More ❯
optimization, TCP/IP, IT security concepts and practices Must be an expert in SQL Server along with a good understanding of Oracle and knowledge of Informix, DB2, MongoDB, DynamoDB and any other databases Must be a self-starter with a great attitude, not afraid to take the initiative, and work with little supervision. Ability to analyze and write More ❯
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom Hybrid / WFH Options
Salt
engineers to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version … Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration, CI/CD, and deployment automation. Deep understanding of ML More ❯
