Graph Modeller

Overview

This role focuses on enhancing operational visibility through advanced modelling techniques that link system inputs, decisions, and outcomes. You will contribute to a live Operations Dashboard offering multi-layered insights on resources, workflows, processes, and systems. Your work includes the collection and aggregation of actual operational data such as case statuses, resource allocations, and key performance indicators to evaluate ongoing performance. A crucial part of the role involves creating a network-based foundational digital model outlining various capabilities and their interactions.

Key Responsibilities

• Develop and deliver new product builds starting from zero to fully operational systems.
• Implement and manage CI/CD pipelines incorporating DevSecOps principles to ensure secure and efficient development workflows.
• Model graph data effectively, emphasizing relationship design and applying expertise with AWS Neptune.
• Handle data engineering tasks such as building ETL pipelines, performing data transformations, and integrating diverse data sources.
• Work with large and complex datasets to support modelling and analysis needs.
• Utilize cloud platforms, preferably AWS, to deploy and manage solutions.

Requirements

• Demonstrated experience in delivering product builds from inception to deployment.
• Hands-on familiarity with DevSecOps practices and continuous integration/delivery pipelines.
• Solid expertise in graph databases, specifically AWS Neptune.
• Strong skills in graph data modelling and designing meaningful relationships within the data.
• Proven background in data engineering, including ETL pipeline development and data integration.
• Advanced programming abilities in Python.
• Experience managing and analyzing extensive and complex datasets.
• Knowledge of cloud platforms with a preference for AWS environments.
• Additional advantage if familiar with network analysis and system modelling concepts.