Microsoft Fabric Data Engineer - RFP-251851-1

Project context

Project Context

We are looking for a Microsoft Fabric Data Engineer (7+ years in that space) to lead the design and development of a scalable, cloud-native data platform on Microsoft Azure. The role involves integrating data from multiple enterprise systems including SAP BW, SAP HANA, Labware, ELN, Salesforce, and others to build a unified and intelligent enterprise data ecosystem.

The data to be processed spans diverse business domains such as Sales, R&I, HR, and finance, enabling cross-functional analytics and AI-driven insights across the organization.

The Data Engineer will own the complete lifecycle of data ingestion, transformation, and modeling — building robust, containerized, and automated pipelines using Azure Functions, Docker Containers, MS Fabric, and Kafka. This position requires a proactive mindset, strong technical depth, and the ability to deliver reliable, high-quality data solutions independently.

Goals and Deliverables

The primary objective is to create a unified and governed Azure-based data ecosystem that enables real-time, scalable, and trusted analytics across multiple business domains.

Timezone: CET

Hybrid working mode - 3 days / week in office

Location: Koregaon Park Pune

Goals and deliverables

Key Goals and Deliverables

• End-to-End Data Integration:

Design and implement automated data pipelines integrating 10+ enterprise systems (SAP BW, SAP HANA, Labware, ELN, Salesforce, etc.) using Azure Functions, Docker Containers, and MS Fabric.

• Data Modeling and Transformation:

Develop efficient data models across diverse domains — sales, operations, HR, customers, materials, and finance — to support analytics and AI-driven insights.

• Governance, Security, and Performance:

Implement strong data governance frameworks, ensure data lineage and access control, and optimize pipeline performance using Azure-native capabilities.

• AI and Analytics Enablement:

Deliver clean, structured, and enriched datasets ready for consumption by BI and AI/ML models for advanced analytics and KPI prediction.

• Documentation and Knowledge Transfer:

Prepare technical documentation, architecture diagrams, and conduct handover sessions to ensure long-term sustainability and scalability.

Expected Skills and Expertise

• Microsoft Fabric (MS Fabric)

• Python

• SQL

• Azure Functions

• Apache Kafka

• Docker Containers

• Data Modeling (Dimensional & Relational)

• Multi-Source Data Integration (SAP BW, SAP HANA, Labware, ELN, Salesforce, etc.)

• Event-Driven Architecture and Real-Time Data Processing

• Data Governance and Security

• CI/CD and GitHub

Ideal Candidate Profile

• Proven experience in Azure Data Engineering and cloud-native data architectures.

• Expertise with MS Fabric, Azure Functions, Kafka, and Docker Containers.

• Solid understanding of data modeling, ETL/ELT processes, and performance tuning.

• Familiarity with SAP BW, SAP DataSphere and SAP ERP data structures for effective source system integration.

• Strong sense of ownership, with the abili