Lead Data Engineer
Core
Design, build, and operate enterprise-grade reporting and analytics platforms, including scalable data pipelines, curated data models, and cost management solutions for finance and operations stakeholders.
Role type
Senior Lead Data Engineer (Enterprise Reporting & Cost Analytics)
Builds
Scalable data pipelines, master data foundations, semantic models, and executive dashboards using Microsoft Fabric, Databricks, and Power BI.
Domain
Construction & Professional Services (Cost Management, Finance, Operations)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud data platform architecture, ELT/ETL pipeline design, dimensional modelling, data governance, Power BI development, SQL, Python, Spark/PySpark, data quality frameworks, DevOps practices.
Preferred skills
Cost analytics domain knowledge, dbt, Terraform, AI-assisted data operations, MDM operating models.
Technologies
Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Purview, Databricks, Power BI, Spark, PySpark, dbt, Git, Azure DevOps, Terraform.
Responsibilities
Lead end-to-end design and implementation of reporting platforms; design and maintain batch data pipelines; develop and govern master/reference data structures; profile, cleanse, and validate source data; apply data modelling best practices; design and deliver Power BI datasets and reports; own technical delivery of cost management data solutions; partner with stakeholders to translate requirements into data products; establish DevOps and platform operations practices; define and enforce data governance standards.
Seniority
Senior, hands-on IC with technical leadership
