Jobs at Version 1

Lead the design and implementation of Oracle FCCS solutions, manage projects, ensure compliance, and mentor team members while collaborating with stakeholders.

Seeking a Data Engineer to design and develop data ingestion and transformation pipelines using Snowpark, DBT, SQL, and orchestration tools for large-scale data solutions.

The AI Platform Specialist will build and deploy AI solutions across support functions, focusing on automation and efficiency gains, and collaborating with stakeholders to understand requirements.

Lead architecture and delivery of Oracle Fusion Cloud SCM solutions across manufacturing, inventory, planning, order and supply chain execution. Design enterprise integrations, advise executives, drive strategic decisions, and balance commercial, delivery and technical considerations on large-scale transformation programmes.

Lead end-to-end delivery of large-scale ERP and enterprise transformation programmes across multiple workstreams and geographies. Define programme vision, governance, budgets, risk and change, coordinate stakeholders, suppliers and delivery teams, oversee testing, cutover, go-live, and drive adoption and continuous improvement.

Support organisational change by assessing readiness, planning and integrating change activities into projects, driving stakeholder engagement, coordinating training and communications, monitoring readiness and metrics, and providing transition support for adoption of new processes and systems.

Lead design and delivery of cloud-based, AI-enabled solutions with technical leadership across the application lifecycle. Drive adoption of Azure AI tooling, ensure security, compliance and AI ethics, mentor development teams, collaborate with stakeholders, support DevOps/MLOps practices, and deliver projects on scope, budget and schedule.

Design, build, and maintain Power Platform solutions (primarily Power Automate) with integrations, Power Apps and Dataverse support. Implement best practices, ALM, troubleshooting, and Agile delivery while working with stakeholders and architects to ensure scalable, secure, and maintainable solutions.

Lead establishment of a best-in-class procurement function: set strategy, policies, and operating model; deliver cost savings and TCO optimisation; own P2P and contract lifecycle; manage supplier relationships, risk, compliance and reporting; build and lead the procurement team and present to executive leadership.

Design, implement, and manage Azure cloud architectures focused on containerized workloads (AKS). Provision and maintain Azure resources, implement IaC (Terraform/Bicep/ARM), build CI/CD pipelines, monitor and troubleshoot Azure and Kubernetes environments, support migrations and governance, and provide technical guidance and documentation to clients and junior consultants.

Provide application and business support for financial and enterprise systems (Kantata, CRM, ticketing), manage support tickets, maintain project and financial configurations, support month-end close activities, ensure data quality, create knowledge base articles, and drive system/process improvements while collaborating with Finance, Commercial, Delivery, and Tech teams. Work in a rotational 15×5 support environment.

Design, develop and implement Oracle Integration Cloud solutions and SaaS extensions. Build integrations between Oracle Cloud (ERP, HCM) and third-party/on‑prem systems, create reports (BI/OTBI/FRS), ensure security/compliance, provide implementation and post‑implementation support, liaise with clients, and troubleshoot persistent issues.

Lead requirements elicitation, analysis, and documentation for financial services projects. Translate business needs into functional specifications, run workshops, perform data analysis and system interface design, and support delivery across front-office, back-office, and systems interface workstreams while liaising with SMEs, developers, and testers.

Senior Full Stack Developer responsible for designing, building and delivering scalable enterprise applications using .NET Core, C#, Web API and React. Lead technical discovery, produce designs and estimates, implement back-end and front-end features, author tests, optimize SQL Server databases, operate CI/CD and Azure deployments, conduct code/security reviews, mentor team members, and collaborate with stakeholders in an Agile environment.

Lead end-to-end implementations of Oracle Cloud PPM: gather requirements, map/redesign processes, perform design/gap analysis, configure applications, support data migration/integration, run validation workshops, testing, training, post-go-live support, manage change requests, liaise with Oracle, and ensure on-time delivery and client satisfaction.

Work with stakeholders to elicit, document and sign off business requirements, map processes, recommend solutions, support UAT, and ensure smooth production releases. Facilitate workshops, produce Business Requirement Specification documents, perform root-cause analysis, and support change adoption across projects using Agile and/or Waterfall methodologies.

Lead design and delivery of data architecture and analytics platforms. Translate business needs into technical solutions, design data models, ETL/integration, MDM and data quality processes, optimise data warehouses, collaborate with data science/BI teams, produce HLD/LLD, manage technical delivery and stakeholder relationships within agile projects.

Manage and grow an existing public sector account portfolio, meet sales and growth targets, support tender responses, maintain high customer service, and collaborate with sales and delivery teams to maximise revenue.

Design, implement and support large-scale AWS cloud solutions. Build production-grade EKS/Kubernetes clusters, implement IaC (Terraform/Helm/CDK), automate CI/CD with GitHub Actions, embed security controls, perform Well-Architected reviews, and mentor engineering teams.

Design, build, and operate backend services and REST APIs that integrate LLM/RAG features via AWS Bedrock, AgentCore, and SageMaker. Implement data models, CI/CD, automated tests, observability, AuthN/AuthZ, and performance tuning. Collaborate cross-stack with product, AI platform, and data teams to ship production AI-powered features and resolve latency, reliability, and data-quality issues.