As a senior Data Engineer, you will lead a data workstream for one of our US enterprise clients end-to-end, from gathering business rules to production pipelines and executive reporting. You will be hands-on every day, and the person junior engineers turn to first. Why This Role Exists Our data teams on large US accounts are growing faster than our senior bench. Each account now runs several workstreams at once: ERP data integration, enterprise data lakes on Microsoft Fabric, finance and operations reporting, and AI applications on top of that data. We are hiring 1–2 experienced data leads who can each own a workstream with light oversight, keep quality high, and grow the junior engineers and graduate-programme shadows working alongside them. What You Will Own / Key Responsibilities Workstream delivery Own one or more client workstreams end to end: scope, plan, build, validation and handover. Build and maintain pipelines and lakehouse layers in Microsoft Fabric (Lakehouses, Notebooks, Data Pipelines, Dataflows Gen2) following our Medallion standards. Integrate ERP and operational sources such as SAP ECC, Infor, CMiC, Sage 300 and Salesforce, and document the business rules behind each dataset. Design Power BI semantic models and reports for finance and operations users. Quality and client communication Validate data with client finance and BI teams, and own the fixes until the numbers reconcile. Run regular working sessions with client counterparts and send clear written status updates, flagging risks early. Review code from junior engineers and enforce testing, documentation and version-control standards. Team Mentor junior associates and graduate-programme shadows, and give them real ownership as they grow. Contribute to reusable playbooks and templates so each new workstream starts faster.