because you will be building your own frameworks and designing new databases from scratch. Your role as a Senior Java Developer will include: - Domainmodelling - Requirement engineering - Design - Initial bootstrapping - Concepts - Designing frameworks & architectural style Modern tech stack: Java 19 , Microservices , AWS , Kubernetes , Node.js and Vue.js Alongside a more »
looking for a senior Data Governance Analyst. Hybrid Working on offer. Skills Needed Understanding and experience with Data Governance topics (ie metadata, Data Domain Model, data ownership, data access, Data Quality … Master Data, data-related policies, Data Governance Forums, etc.) Experience with data analysis and Datamodelling (hands-on experience with conceptual, logical and physical data models) Experience with requirements gathering (ie interaction with business users, technical developers), technical and functional specifications, as well as with the definition of ToR for … metadata, Master Data, Data Quality, accesses and permissions, etc.) Define and document policies, procedures and operational standards Support the evolution of the Data Domain Model and keep it updated, by liaising with the business and the Data Team Support the onboarding process of Data Owners/Key Stakeholders more »
the Enterprise Architects.You will be responsible for the low-level integration design and integration patterns required for assigned projects. Including Domain Data Models, Detailed Behaviours, Observable States, Integration Events and Story Maps.Key Skills/ExperienceStrong Software Development Life Cycle (SDLC) experience.Experience of developing and implementing integration platforms more »
world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for … on the planet. This is a full-time placement with significant opportunities for personal development. The Applied Data Scientist will develop causal-AI-driven models and decision applications using our technology to solve the most high-impact challenges in industries like retail, marketing, supply chain, manufacturing and finance. What … with time series or tabular use-cases, preferably using Python. Some of your responsibilities will include: Using our causal AI framework to build causal models and decision applications, using our proprietary causal discovery, modelling, and decision intelligence architectures on client-supplied data sets and use cases. Collaborating directly with more »