Data Engineer H/F
Core
Design, develop, and maintain data pipelines and lakehouses to unify structured and unstructured data for strategic reporting and analysis.
Role type
Senior Data Engineer (Microsoft Fabric/Azure)
Builds
Data pipelines, data lakehouses, semantic models, and Power BI dashboards
Domain
Higher Education / EdTech
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Microsoft Fabric, Azure Data Factory, Azure Data Lake, SQL, Python, PySpark, DAX, Data Modeling, ETL Automation, Data Governance, Data Quality
Preferred skills
Salesforce, Google Analytics, CRM integration, Marketing data tools
Technologies
Microsoft Fabric, Azure Synapse, Power BI, Azure Data Lake, OneLake, Atlassian (Jira, Confluence)
Responsibilities
Design and maintain data pipelines integrating CRM, SIS, LMS, and marketing data; Build and administer the data lakehouse; Define logical and physical data models for reporting; Automate ETL processes and implement data versioning; Collaborate with business units to define KPIs and build decision-support dashboards; Participate in data governance, cataloging, and documentation.
Seniority
Mid-Senior, hands-on IC
