Job Description: As a Senior Data Engineer, your primary mission will be to structure, optimize, and maintain our high-performance data infrastructure. You will bridge the gap between complex data engineering and business value, helping our teams leverage the full potential of data through the Microsoft Fabric ecosystem. You will take full ownership of data quality, pipeline monitoring, and advanced visualization solutions.
Responsibilities: * Design, implement, and optimize data models using Microsoft Fabric and Direct Lake (including migrations from V1 to V2) * Structure and maintain data pipelines using Medallion Architecture (Bronze to Silver layers), specifically for CRM and business data * Continuous monitoring of data pipelines, dataflows, and reporting health * Diagnosing Direct Lake errors, optimizing DAX constraints, and managing Fabric capacity consumptions * Automate the identification and cleanup of unused reports to ensure a lean and efficient reporting environment * Work closely with C-level stakeholders and business teams to provide high-quality visualization and data-driven insights
Required Skills: * 5+ years of experience in Data Engineering, with a strong focus on Microsoft Fabric (ideal) or expert-level experience in Azure Data Factory, Databricks, etc. * Understanding of Direct Lake V1/V2 implementation, migrations, and performance tuning * Understanding of DAX constraints within Direct Lake and advanced Power BI reporting * Proficiency with Git for code management * Upper-Intermediate English (written and spoken) is required
Qualifications: * A degree in Computer Science, Data Science, Engineering, or a related field would be a plus * Fabric certifications are a plus
