Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks.
Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake.
Build and maintain Data Lakehouse solutions using ADLS Gen2.

From the employer’s posting

Responsibilities Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks. Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake.

Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks. Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake. Build and maintain Data Lakehouse solutions using ADLS Gen2.

Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake. Build and maintain Data Lakehouse solutions using ADLS Gen2. Work with Synapse, Event Hub, Logic Apps, Function Apps, and Azure SQL for data integration and processing.

Tools in this posting

SQL
Azure
Delta
Spark
PySpark
Databricks

Source

- Azure Logic Apps & Function Apps - Azure SQL Database - Azure Key Vault

- Microsoft SharePoint Integration - PySpark & Spark SQL - Delta Lake & Delta Tables

- Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks. - Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake. - Build and maintain Data Lakehouse solutions using ADLS Gen2.

- Build and maintain Data Lakehouse solutions using ADLS Gen2. - Work with Synapse, Event Hub, Logic Apps, Function Apps, and Azure SQL for data integration and processing. - Implement secure integrations using Azure Key Vault and SharePoint.

Job Summary We are looking for a Senior Azure Data Engineer with 5+ years of hands-on experience in designing and developing scalable data solutions on Microsoft Azure. Key Skills

Key Skills - Azure Data Factory - Azure Databricks

- Azure Data Factory - Azure Databricks - Azure Synapse Analytics

- Azure Databricks - Azure Synapse Analytics - Azure Event Hub

- Azure Synapse Analytics - Azure Event Hub - Azure Data Lake Storage Gen2

- Azure Event Hub - Azure Data Lake Storage Gen2 - Azure Logic Apps & Function Apps

- Azure Data Lake Storage Gen2 - Azure Logic Apps & Function Apps - Azure SQL Database

- Azure SQL Database - Azure Key Vault - Microsoft SharePoint Integration

Responsibilities - Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks. - Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake.

- Work with Synapse, Event Hub, Logic Apps, Function Apps, and Azure SQL for data integration and processing. - Implement secure integrations using Azure Key Vault and SharePoint. - Troubleshoot and optimize data pipelines and Spark workloads.

- PySpark & Spark SQL - Delta Lake & Delta Tables - Data Lakehouse Architecture

Job description

View original posting ↗

Experience: 5+ Years
Location: Hybrid – Pakistan
Working Hours: UAE Business Hours

Job Summary

We are looking for a Senior Azure Data Engineer with 5+ years of hands-on experience in designing and developing scalable data solutions on Microsoft Azure.

Key Skills

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Event Hub
Azure Data Lake Storage Gen2
Azure Logic Apps & Function Apps
Azure SQL Database
Azure Key Vault
Microsoft SharePoint Integration
PySpark & Spark SQL
Delta Lake & Delta Tables
Data Lakehouse Architecture

Responsibilities

Design and develop scalable ETL/ELT pipelines using ADF and Azure Databricks.
Develop data transformation solutions using PySpark, Spark SQL, and Delta Lake.
Build and maintain Data Lakehouse solutions using ADLS Gen2.
Work with Synapse, Event Hub, Logic Apps, Function Apps, and Azure SQL for data integration and processing.
Implement secure integrations using Azure Key Vault and SharePoint.
Troubleshoot and optimize data pipelines and Spark workloads.

Note: Candidate must be comfortable working in UAE business hours and following the UAE public holiday calendar.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on northbay.applytojob.com. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Islamabad, Capital, Pakistan
Experience: 5+ Years Location: Hybrid – Pakistan Working Hours: UAE Business Hours Job Summary
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at northbay.applytojob.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 31, 2026
Recorded sightings: 87
Last seen by us: Sep 30, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Principal Software Engineer (Data Platform)