Hybrid Opportunity as a Microsoft Fabric Data Engineer

emagine Polska; Polska; Hybrid; PLN 10,000 - 15,000; Full time

Job summary

Unknown company in Pune, hybrid role, seeks a Microsoft Fabric Data Engineer to lead the design and development of a scalable data platform on Azure. You will integrate data from multiple enterprise systems to build a unified data ecosystem.

Responsibilities include building automated pipelines, data modeling, governance, security, and preparing datasets for BI/AI models. Collaboration and knowledge transfer are emphasized.

Qualifications

• 7+ years of experience in Data Engineering, with Azure expertise.
• Strong knowledge of Microsoft Fabric, Azure Functions and Docker.
• Proficiency in Python and SQL with data modeling skills.
• Experience with real-time data processing using Kafka.

Responsibilities

• Design and implement automated data pipelines using Azure technologies.
• Develop data models across domains to support analytics and AI insights.
• Implement data governance, optimize performance, ensure security.
• Prepare clean datasets for BI and AI/ML models consumption.
• Document details and conduct handover sessions for sustainability.

Skills

Data engineering

Python

SQL

Data modeling

Cloud computing

Tools

Microsoft Fabric

Azure Functions

Docker Containers

Apache Kafka

Job description

Summary

The role of a Microsoft Fabric Data Engineer is to lead the design and development of a scalable, cloud-native data platform on Microsoft Azure while integrating data from various enterprise systems to build a unified data ecosystem.

Responsibilities

• Design and implement automated data pipelines integrating multiple enterprise systems using Azure technologies.
• Develop efficient data models across diverse business domains to support analytics and AI-driven insights.
• Implement data governance frameworks, optimize pipeline performance, and ensure data security.
• Prepare clean datasets ready for consumption by BI and AI/ML models.
• Document technical details and conduct handover sessions to facilitate knowledge transfer and sustainability.

Must Haves

• 7+ years of experience in Data Engineering, particularly with Microsoft Azure.
• Strong expertise in Microsoft Fabric, Azure Functions, and Docker Containers.
• Proficient in Python and SQL.
• Experience with Apache Kafka for real-time data processing.
• Understanding of data modeling and multi-source data integration.

Nice to Haves

• Experience with SAP BW, SAP HANA, and Salesforce.
• Familiarity with CI/CD processes and GitHub.
• Knowledge of data governance and security practices.
• Experience with dimensional and relational data modeling techniques.

Other Details

• Timezone: CET
• Working Mode: Hybrid (3 days/week in office)
• Location: Koregaon Park Pune