Data Engineer

Seeking a Data Engineer to help build and launch a new Azure-based lakehouse environment. This role focuses on designing scalable data pipelines, implementing lakehouse architecture, and delivering clean, governed datasets for reporting, analytics, and AI/ML.

You’ll work across Azure and Microsoft Fabric (OneLake, Data Factory, Power BI, Databricks, Synapse) to create ingestion patterns, curated data models, semantic layers, and AI-ready datasets. Responsibilities include ensuring data quality, lineage, security, and governance; optimizing pipeline performance; automating workflows with CI/CD; and partnering closely with business, analytics, and AI teams.

Ideal candidates have 4+ years of hands-on data engineering experience, strong Azure/Fabric expertise, Spark/PySpark/SQL/Python skills, and a track record of contributing to new data platform or lakehouse builds. Experience preparing governed datasets for AI/ML and building dimensional/semantic models for Power BI is highly valued. Strong communication skills and comfort working in broad-ownership or small-team environments are preferred.