Senior Data Engineer – Azure / Microsoft Fabric

Systems Limited; Punjab; On-site; PKR 2,400,000 - 4,800,000; Full time

Job summary

Systems Limited is seeking a Senior Data Engineer to build and support scalable, enterprise-grade data platforms using Azure and Microsoft Fabric technologies. The role focuses on end-to-end data pipelines, data modeling, and architecture leveraging Lakehouse, Delta Lake, and Medallion patterns.

You will implement CDC and incremental loads, optimize performance, and ensure reliability. The ideal candidate has 6-8+ years in data engineering with hands-on Azure Fabric, ADF, SQL Server/Azure SQL,

Qualifications

• 6-8+ years of relevant Data Engineering experience.
• Hands-on expertise in Azure / Microsoft Fabric environments including ADF, Fabric Pipelines, Lakehouse, Data Warehouse, and Notebooks.
• Strong proficiency in SQL, Python, PySpark, and Spark.
• Excellent knowledge of SQL Server / Azure SQL design, queries, and performance tuning.
• Experience with Azure Data Lake, ETL/ELT, Delta Lake, CDC, incremental loads, and data warehousing.
• CI/CD, Git-based deployments, troubleshooting, and production support.

Responsibilities

• Design and develop end-to-end data engineering solutions and scalable data pipelines.
• Build and manage data ingestion, transformation, and integration workflows.
• Develop data models and implement Lakehouse, Data Warehouse, Delta Lake, and Medallion Architecture solutions.
• Implement CDC and incremental data loading strategies.
• Optimize database queries, stored procedures, data pipelines, and overall platform performance.
• Manage CI/CD, Git-based deployments, troubleshooting, and production support.
• Ensure data quality, reliability, security, and operational stability.
• Collaborate with business and technical stakeholders to translate requirements into effective data solutions.

Skills

Azure Data Platform

Data Engineering

SQL

Python

PySpark

Spark

Data Modeling

ETL/ELT

CDC

CI/CD

Git

Performance Tuning

Notebooks

Tools

Azure Data Factory (ADF)

Microsoft Fabric

Delta Lake

Lakehouse Architecture

Job description

Summary

Senior Data Engineer responsible for building and supporting scalable, enterprise-grade data platforms using modern Azure and Microsoft Fabric technologies.

Responsibilities

• Design and develop end-to-end data engineering solutions and scalable data pipelines.
• Build and manage data ingestion, transformation, and integration workflows.
• Develop data models and implement Lakehouse, Data Warehouse, Delta Lake, and Medallion Architecture solutions.
• Implement CDC and incremental data loading strategies.
• Optimize database queries, stored procedures, data pipelines, and overall platform performance.
• Manage CI/CD, Git-based deployments, troubleshooting, and production support.
• Ensure data quality, reliability, security, and operational stability.
• Collaborate with business and technical stakeholders to translate requirements into effective data solutions.

Requirements

• 6-8+ years of relevant Data Engineering experience.
• Hands-on expertise in Azure / Microsoft Fabric, including ADF, Fabric Pipelines, Lakehouse, Data Warehouse, and Notebooks.
• Strong proficiency in SQL, Python, PySpark, and Spark.
• Strong database knowledge covering SQL Server / Azure SQL, including database design, complex queries, stored procedures, and performance tuning.
• Experience with Azure Data Lake, ETL/ELT, Delta Lake, CDC, incremental loads, and data warehousing.
• Experience with CI/CD, Git, deployment, troubleshooting, and production support.
• Strong analytical, problem-solving, and communication skills.