. Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to support model explainability and stakeholder reporting. Advanced understanding of machine learning algorithms and optimisation techniques . Previous experience in the banking sector (mandatory). More ❯
using FastAPI framework and how different it is from Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes What are few proven docker images inspection methods? Any experience of popular known deployment methods on k8s cluster? Gitops/Git More ❯
Responsibilities Design, build and maintain scalable data architectures and pipelines. Implement and manage data warehouses and data lakes, ensuring data security, durability and accessibility. Develop data processing and analysis algorithms to handle complex, large-scale datasets. Collaborate with data scientists to support machine learning model deployment. Lead and mentor a team of data engineers, setting coding standards and driving best More ❯
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Expectations To contribute or set strategy, drive requirements and make recommendations More ❯
