Description
**Senior Data Engineer | BigQuery • Microsoft Fabric • Power BI | Remote**
We are looking for a Senior Data Engineer to work in a modern, data-driven, and continuously evolving environment. This role plays a key part in defining architecture, best practices, and technical direction for the team. You will work on an analytical platform involving large-scale data ingestion, transformation, and consumption, primarily using **BigQuery, Microsoft Fabric, and Power BI**.
The focus is on evolving the architecture, ensuring efficiency, and supporting business areas with reliable data.
### **Responsibilities**
* Design and evolve data pipelines (ingestion, transformation, and consumption)
* Define standards and best practices for data engineering
* Lead architecture initiatives (Lakehouse, Medallion, modern DW)
* Optimize performance and costs in BigQuery
* Serve as a subject matter expert in Microsoft Fabric and Power BI
* Ensure data quality, availability, and governance
* Monitor environments and resolve critical incidents
* Support the team with technical guidance and continuous improvement
### **Requirements**
**Mandatory**
* Solid experience in Data Engineering
* Advanced BigQuery
* Advanced SQL
* Microsoft Fabric and Power BI
* Data modeling (transactional and analytical)
* Experience with ETL/ELT and Data Warehouse
* Experience with governance, monitoring, and operations
* Optimization of performance and costs in data platforms
**Preferred**
* Python for data
* Apache Spark / Databricks
* Terraform or IaC
* Git and CI/CD
* Azure Data Platform
* Data Catalog, Data Quality, and observability
* Experience with Data Mesh, DataOps, or MLOps
* Certifications (Google Cloud, Azure, or Fabric)
* Experience with FinOps and mission-critical environments