Senior Data Engineer PowerBI & MS Fabric

Data Engineer Microsoft Fabric & SAP Integration

As the Data Engineer in our Microsoft Fabric team you will play a key role in designing building and maintaining our modern data platform. You will be responsible for integrating SAP data sources developing high-quality data models managing data transformations and ensuring reliable data pipelines across our Fabric environment.
This role is ideal for someone with strong experience in data engineering advanced SQL and Python skills and hands-on knowledge of Microsoft Fabric Synapse and SAP data extraction technologies.

Key Responsibilities

Data Engineering & Architecture

• Design build and optimize data pipelines (Data Factory Lakehouse Warehouse - Microsoft Fabric if possible).
• Implement data ingestion processes for SAP systems using appropriate connectors and integration tools.
• Develop scalable ETL/ELT processes with strong focus on data quality performance and maintainability.
• Structure and curate data in Bronze / Silver / Gold layers following medallion architecture best practices.
• Build and maintain semantic models within Fabric for reporting and analytics use cases.

Data Modeling & Transformation

• Create efficient reusable data models tailored to reporting analytics and ML workloads.
• Implement business transformation logic using SQL PySpark Python and Fabric notebooks.
• Ensure proper metadata mapping schema evolution handling and lineage documentation.

Security Governance & Quality

• Apply and manage Row-Level Security (RLS) and Object-Level Security (OLS) across datasets and semantic models.
• Contribute to data governance frameworks aligned with Fabrics workspace domain and permission model.
• Collaborate with Data Stewards Architects and Domain Owners to align on data standards and quality metrics.

Automation & CI/CD

• Automate pipeline deployments and model updates using DevOps CI/CD integrations with Fabric.
• Contribute to maintaining a managed and scalable development workflow based on Git integration.

Collaboration & Stakeholder Support

• Work closely with business analysts report creators and data consumers to understand requirements and translate them into scalable data solutions.
• Provide expertise on Fabric capabilities data integration techniques and data platform best practices.
• Support troubleshooting performance tuning and continuous improvement of data services.

Required Skills & Experience

• Proven experience as a Data Engineer ideally in cloud-based analytics environments such as Microsoft Fabric Azure Synapse or Databricks.
• Hands-on experience with SAP Data Integration (e.g. SAP BDC SAP BW SAP ECC SLT BTP or 3rd-party extraction tools).
• Strong proficiency in SQL Python and data transformation frameworks.
• Experience building pipelines using Data Factory Notebooks Pipelines and Lakehouse in Microsoft Fabric.
• Solid understanding of medallion architecture warehouse/lakehouse modeling and semantic layer design.
• Practical knowledge of RLS OLS workspace security and Fabric governance.
• Experience with Git version control and CI/CD pipelines (Azure DevOps preferred).
• Strong analytical problem-solving and communication skills.

Preferred Qualifications

• Experience with Data Engineering (Data factory (ETLs) Lake houses Connectors etc)
• Knowledge with Power BI semantic model optimization and DAX fundamentals.
• Exposure to data governance frameworks data cataloging data products and data lifecycle management.
• Knowledge of enterprise integration technologies involving SAP and Microsoft ecosystems.
• Familiarity with enterprise data architecture patterns such as Data Mesh.

$$ We are an equal opportunity employer! We promote diversity in all its forms and create an inclusive work environment free from prejudice discrimination and harassment in which all employees feel a sense of belonging. We warmly welcome all applications regardless of gender age race or ethnic origin social and cultural background religion disability and sexual orientation.

$$Arvina Mehta $$ $$ $$$$ Experience:

Senior IC