Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complimentary areas of focus: Strategy Consulting & Insights, Value, Access, & Outcomes, and Medical Strategy and Communications. The Systems Engineer is a senior technical role for someone who combines hands-on Salesforce and MuleSoft expertise with flexibility across other data engineering capabilities. In addition to integration work, the role will support the management of the company’s Azure SQL Data Warehouse and Azure Data Factory pipelines as needed, providing coverage and continuity across the team. Essential Duties/Responsibilities Integrations Lead design, development, and maintenance of integrations between NetSuite (ERP), Salesforce (CRM), HR, Finance, and other enterprise systems, primarily using MuleSoft. Ensure integrations are scalable, secure, and meet business requirements. Apply API security best practices, including OAuth 2.0, role-based access control (RBAC), and encryption. Monitor and optimise integration performance, proactively resolving issues. Maintain documentation of all integration flows, endpoints, and dependencies. Automate repetitive integration and data processing tasks to reduce manual intervention. Monitor system integrations and proactively resolve data flow issues. Data Architecture & Modelling Collaborate with our NetSuite MSP to align on integration architecture and best practices. Design logical and physical data models to support integrated reporting from Salesforce, NetSuite, and other sources. Ensure models align with business needs for sales, finance, project management, and marketing reporting. Business Intelligence & Reporting Enablement Partner with the Finance FP&A team to deliver Power BI datasets and dashboards for sales performance and financial KPIs. Ensure data lineage, definitions, and governance are maintained for all reporting datasets. Data Engineering & Warehouse Support administration and monitoring of the Azure SQL Data Warehouse, including backups, tuning, and performance optimization. Assist in maintaining and enhancing Azure Data Factory (ADF) ETL pipelines that feed reporting and analytics processes. Provide clean, well-structured data sets for the FP&A team’s Power BI reporting. Partner with the existing Senior Data Engineer to ensure continuity and coverage of critical data workflows. Collaboration & Governance Work closely with EAG, Finance, FP&A, IT Infrastructure, and Software Development teams to ensure smooth data and system interoperability. Support data governance efforts by ensuring integrations and pipelines follow quality, security, and compliance standards (GDPR, GxP, etc.). Assist in documenting standards, guidelines, and runbooks for integrations and data processes. Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent; or 5 years equivalent professional experience. Required Professional Expertise: Integration Expertise: 5 years in systems integration roles, with strong hands-on experience in MuleSoft (API-led integration, flow design, deployment, and monitoring). ERP & Enterprise Systems: Experience integrating ERP (NetSuite preferred), CRM (Salesforce preferred), HR, or finance platforms. Programming & Scripting: Proficiency in integration-related languages/tools (e.g., Java, Python, SQL). Cloud Experience: Familiarity with Azure services for integrations and/or data management. Problem-Solving: Strong troubleshooting skills and ability to manage integrations in complex enterprise environments. Collaboration: Excellent communication skills to partner with technical and non-technical teams. Preferred Skills: Experience with HubSpot–Salesforce integration. Familiarity with NetSuite SuiteTalk API or REST API. Exposure to Azure Data Factory, Azure SQL Data Warehouse, or other ETL/data engineering tools. Experience supporting reporting environments (e.g., Power BI datasets). Knowledge of data security and compliance frameworks relevant to life sciences. We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance: Competitive salary plus annual bonus scheme Private health insurance plus enhanced dental and optical cover Generous pension scheme Generous amount of paid days holiday Enhanced maternity and paternity pay for employees with 2 years of service Access to comprehensive Mortgage Advisor Service Group income protection Life assurance coverage at 4x base salary EV car scheme and more LI-Hybrid