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The Subsurface Data Manager ensures data integrity, compliance, and accessibility for subsurface data, supports exploration teams, and oversees data management processes and quality control.

The Azure Architect will design and implement Azure cloud solutions, guide clients in adoption, and lead architecture decisions ensuring security and scalability.

Leads the development, delivery, governance, financial performance, and growth of a managed services portfolio. Manages Service Delivery Managers, oversees SLAs, KPIs, customer relationships, operational risks, budgets, and service profitability. Designs scalable service models, supports new-service mobilisation and transition, improves processes, and identifies opportunities to expand offerings across energy-sector and data-management clients.

Lead design and implementation of enterprise network solutions across routing, switching, firewalls and wireless. Produce low-level designs, migration and implementation plans. Deploy, test, validate and optimise Cisco-based infrastructure (data centre and campus), troubleshoot complex issues, run PoCs/labs, and produce documentation while collaborating with project managers, security teams and stakeholders. Integrate network designs with compute and storage platforms.

Lead design and delivery of end-to-end data and AI solutions on Azure and Microsoft Fabric. Translate business needs into secure scalable data architectures, build and optimise pipelines, create enterprise Power BI semantic models, integrate AI/ML and LLM capabilities, support pre-sales, ensure governance and compliance, and mentor junior staff.

Design, build, and maintain scalable data pipelines and Microsoft Fabric artefacts; integrate data into Azure Data Lake/OneLake; perform ELT/ETL and advanced transformations using SQL, Python, and Spark; support Power BI models; apply Purview governance; troubleshoot production issues; participate in CI/CD and mentor junior engineers while engaging with clients and cross-functional teams.

As Subsurface Data Manager, ensure integrity of subsurface data, manage data quality and accessibility, and support regulatory compliance.

The AI & Automation Lead will oversee a team in delivering automation and AI solutions, providing technical guidance, ensuring quality, and engaging clients in various industries to support their transformation journeys.

Own review, drafting and negotiation of customer and supplier contracts (MSAs, SOWs, NDAs). Identify and mitigate commercial and operational risks, support contract lifecycle management, maintain templates and repository, coordinate approvals and stakeholder reviews, and promote best practice in contract governance to enable successful delivery.

Lead the design and delivery of modern endpoint solutions across various Microsoft services, assessing environments, producing documentation, providing leadership, and supporting client engagements.