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

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 effective 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 ability to work independently and deliver end-to-end solutions.

📌 Syensqo-LBC-Microsoft Fabric Data Engineer (Pune)
🏢 GK HR Consulting India Private
📍 Pune