Data Engineer
Core
Design and deliver end-to-end data and analytics solutions using Microsoft Fabric to transform data into business insights for clients.
Role type
Data Engineer (Microsoft Fabric specialist)
Builds
Scalable data platforms, pipelines, lakehouses, warehouses, and transformation layers
Domain
Data Engineering / Analytics / Microsoft Fabric
Required skills
SQL, data modeling, ETL/ELT, Python, PySpark, CI/CD, data governance, data ingestion, data cleansing, query optimization
Preferred skills
Microsoft Fabric, Power BI (semantic models), Azure Data Services (SQL, ADLS, Databricks, Synapse), ERP systems, solution architecture
Technologies
Microsoft Fabric, Data Factory, Pipelines, OneLake, Notebooks, Dataflows, Semantic Models, Power BI, Azure SQL, ADLS, Databricks, Synapse Analytics, ERP, CRM
Responsibilities
Designing and delivering end-to-end data and analytics solutions based on Microsoft Fabric; Building and maintaining data pipelines, lakehouses, warehouses, and transformation layers; Developing and optimizing data models to support reporting and decision-making; Preparing data for analytical use including ingestion, cleansing, transformation, and modeling; Supporting integration between Fabric, Power BI, and source systems; Optimizing solution architecture, query performance, and refresh processes; Applying best practices related to data governance, security, access management, and compliance; Collaborating with clients, analysts, consultants, developers, and IT teams; Participating in workshops, discovery sessions, solution design, and presales activities