The role involves supporting the delivery of a large-scale enterprise systems integration programme for a facilities management client. The individual will manage the data layer of integration, which includes connecting to source systems, profiling data, and performing transformations. Responsibilities include building batch ingestion pipelines into a cloud-based data platform and establishing data interfaces for enterprise master data management. The position requires designing and implementing data validation rules to ensure clean payloads flow through an event-driven integration hub. Additionally, the role involves collaborating with integration engineers and solution architects to maintain alignment across the platform.

The role requires at least seven years of experience in data engineering within cloud-based integration or analytical environments. Candidates must possess proficiency in SQL and Python, along with hands-on experience in building data pipelines on Azure and using Databricks. Experience with dbt for data modelling and connecting to enterprise application APIs is necessary. Strong communication skills are required to engage with stakeholders regarding data quality and mapping decisions.