Experteer Overview In this role you will design, build and operate an enterprise-grade reporting and analytics capability to enable trusted insight across multiple systems. You'll create scalable data pipelines and curated models, establish master data foundations, and drive governance for reliable reporting. You will support cost management initiatives with governed data and self-service dashboards.

You collaborate with finance, operations, and business stakeholders to deliver measurable business outcomes in a cloud-based data environment. Compensaciones / BeneficiosLead end-to-end design and implementation of a reporting platform ingesting data from multiple internal systems into Microsoft Fabric, Databricks, or a comparable cloud data platformDesign and maintain batch data pipelines using ELT/ETL patterns and orchestration frameworksDevelop and govern master and reference data structures to support consistent definitions and reporting qualityProfile, cleanse, transform, and validate source data; implement data quality controls and auditability across the data lifecycleApply data modelling best practices to build reusable lakehouse/warehouse/semantic models for reporting and self-serviceEvaluate and implement AI-assisted approaches for data classification, anomaly detection, and data quality monitoringDesign and deliver Power BI datasets, semantic models, dashboards, and reports with row-level security and performance tuningOwn the technical delivery of a cost management data solution including cost-rate database design and reporting outputsPartner with finance, operations,



and stakeholders to translate requirements into scalable data products and measurable outcomesEstablish DevOps and platform operations practices including monitoring, release management, and documentationDefine and enforce data governance, metadata, lineage, access control, privacy, and retention standardsProvide technical leadership with autonomy across architecture, build, testing, deployment, and run-state supportResponsabilidades~8-10 years in data engineering, analytics engineering, or enterprise reporting platform deliveryStrong delivery experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Purview, Databricks or equivalentAdvanced SQL and Python;

experience with Spark/PySpark and data transformation frameworks is highly desirableExpertise in dimensional modelling, semantic layer design, data warehousing, lakehouse concepts, and master data managementStrong experience building Power BI data models, DAX measures, governance controls, deployment pipelines, and executive reportingExperience integrating data from ERP, finance, project, procurement, HR, CRM and other systems via APIs, files, databases, or event-driven interfacesSolid understanding of data quality frameworks, testing, reconciliation controls, and production support for critical reportingExperience designing secure, maintainable data platforms with data access policies, audit trails, and compliance controlsAbility to work autonomously, prioritize effectively, and engage with technical teams, finance stakeholders, and senior leadersExcellent spoken and written English and SpanishRequisitos principalesflexible working environmentwork-life balanceinclusive cultureopportunity to influence changeglobal/network of professionalsprofessional growth opportunities

📌 Lead Data Engineer (Madrid)
🏢 Turner u0026 Townsend
📍 Madrid