Data extraction and transformation from structured and unstructured sources Collaborate with clients to define reporting ontologies, workflow requirements, and automation goals. Rapidly prototype and iterate AI solutions using Python, AWS, and containerized environments. Ensure robust testing, performance tuning, and continuous improvement of deployed agents. Essential Skills: Strong proficiency in Python , containerized application development. Proven track record in AI/ML More ❯
communication skills. Experience working in enterprise-scale engagements under tight timelines. Nice to Have Previous involvement in RFI/RFP responses for enterprise AI solutions. Knowledge of cloud platforms (AWS, Azure, GCP) and enterprise integration patterns. Awareness of compliance and regulatory requirements (eg GDPR, PCI). Engagement Benefits Opportunity to shape a high-impact GenAI programme for a major enterprise More ❯
data integration or migration projects. Strong data analysis and profiling skills, with experience in tools such as SQL, Excel, or Power BI. Familiarity with enterprise data platforms (eg, Azure, AWS, Snowflake, or GCP). Understanding of data modelling, metadata, and data quality principles. Ability to interpret technical and business data requirements and translate them into actionable tasks. Strong attention to More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
AMS CWS
interconnected data processes. Familiarity with APIs, customer data platforms, and interface analysis. Jira & Confluence experience (notably for user stories and ticket management). Swagger for API definition and documentation. AWS experience (desirable). About the client Why Tesco Bank? At Tesco Bank everyone is welcome, we value our people and diverse teams and believe the variety of backgrounds and experiences More ❯
month contract - Inside IR35 - Banking Senior AWS Infrastructure DevOps Engineer (Hands-On Role) Take a hands-on lead role in designing, implementing, and optimising secure, scalable AWS infrastructure to support cloud-native applications. Champion DevOps best practices, mentor engineering teams, and collaborate across functions to drive automation, reliability, and operational excellence. Key Responsibilities: Architect and manage AWS infrastructure using Infrastructure … Fargate, and Kubernetes. Manage Kubernetes deployments using Helm charts. Implement observability solutions using OpenTelemetry (OTel), Grafana, and Splunk. Optimise infrastructure with Karpenter for autoscaling and cost efficiency. Ensure robust AWS networking (VPC, Transit Gateway, PrivateLink, Route 53) and enforce security best practices. Drive incident response, monitoring, and performance tuning. Key Technologies: AWS (EKS, Fargate, EC2, S3), Terraform, CloudFormation, GitLab, ArgoCD More ❯
engagement, helping shape and deliver scalable, cloud-native data solutions for household-name clients. What youll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver More ❯