About the role
We are looking for an experienced Data Engineer / Microsoft Fabric professional with strong expertise in data engineering, analytics, and enterprise reporting.
Responsibilities:
- Design and develop scalable data pipelines, ETL/ELT workflows, and data models.
- Work extensively on Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, and Semantic Models.
- Develop and optimize SQL queries, datasets, semantic models, and Power BI reports.
- Implement data modelling, dimensional modelling, Medallion Architecture, and Lakehouse patterns.
- Perform data ingestion, transformation, validation, testing, and production support.
- Create source-to-target mappings, data flow diagrams, and technical documentation.
- Collaborate with business stakeholders and technical teams to understand requirements and deliver analytical solutions.
- Optimize pipelines and reports for performance, scalability, and reliability.
Requirements:
- 6+ years of experience in data engineering/BI/analytics.
- Strong hands-on Microsoft Fabric experience.
- Must-have skills: Power BI and Advanced SQL, ETL/ELT, Data Pipelines and Data Modelling, Lakehouse / Data Warehouse architecture.
- Knowledge of Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks.
- Strong analytical, problem-solving, and communication skills.
- Good to have: SAP data / SAP data structures, HANA modelling, SAP BusinessObjects, Tableau, and enterprise reporting experience.
- Experience working with global / cross-functional teams.