Data Engineering Jobs in Pakistan
There are 243 open Data Engineering jobs in Pakistan on freehire right now. 44 of them were posted recently. The skills employers ask for most often are sql, data-pipelines and etl.
Most requested skills
- sql 69%
- data-pipelines 63%
- etl 57%
- data-engineering 52%
- analytics 47%
- data-quality 41%
- python 41%
- azure 39%
How the work is done
- Hybrid 13 · 5%
- Remote 13 · 5%
- Onsite 6 · 2%
Visa sponsorship offered in 0% of the 2 postings that state a position on it.
Seniority
- Senior 86
- Lead 32
- Principal 9
- Junior 6
- C-level 1
- Intern 1
Who is hiring
- 1000+ employees 16
- 501-1000 employees 6
- 51-200 employees 5
- 11-50 employees 2
- 201-500 employees 1
Senior Software Engineer - Data Engineering & AI
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Senior Data Engineer
Designs and maintains data pipelines using Spark, Airflow, Kafka, and Iceberg tables, deploying via GitLab CI/CD on Kubernetes.
Jr. Data Engineer (ETL)
Junior Data Engineer builds and maintains ETL pipelines, retrieving and transforming customer data into cloud solutions using SQL and analytics.
Data Engineer
Leads software engineering teams to design, build, and deliver enterprise-grade solutions using cloud, APIs, and DevOps practices.
Data Engineer: Build Scalable Pipelines & Analytics
Builds and maintains scalable data pipelines and analytics infrastructure using AWS/GCP/Azure, Spark, SQL, and Python for ML and reporting.
Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
AI Data Engineer
Build and maintain scalable data pipelines and systems that power FactualIQ’s AI-driven Decision Engine, including vector databases, semantic search, and real-time processing for enterprise clients.
Data Engineer – Lakehouse Migration (Spark/Iceberg)
Build and migrate data pipelines to a modern lakehouse using Spark and Iceberg, replacing a legacy Hadoop warehouse while maintaining core reporting systems.
Enterprise AI Data Engineer — Scalable Pipelines
Build and maintain scalable data pipelines and AI infrastructure for enterprise decision engines, optimizing databases and enabling intelligent workflows for Fortune 1000 clients.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, integrating sources with ETL/ELT workflows to power analytics and AI while ensuring data quality, security, and governance.
Senior Data Engineer: Scalable Pipelines & Cloud Data
Design and maintain scalable data pipelines and cloud-based ETL/ELT workflows to integrate diverse data sources for analytics and AI use cases.
Data Engineer
Build and maintain scalable data pipelines and warehouses using Python, SQL, and cloud tools to feed analytics and ML systems.
Senior DevOps Engineer — AI & Data Platform
Senior DevOps Engineer at EY’s AI Hub in Pakistan; designs and operates cloud platforms, automates CI/CD pipelines, and secures applications using Azure.
ETL Developer: Python, PySpark & Data Pipelines
Build and maintain ETL pipelines in Python, PySpark, and SQL to transform large datasets and automate data workflows for analytics and reporting.
Associate Team Lead- Data Engineer
Leads a team to design, build, and optimize data pipelines that transform raw data into insights using SQL, Python, ETL tools, and cloud data services.
Data Engineer
Build and maintain scalable ETL/ELT pipelines, cloud data warehouses (Snowflake/BigQuery), and orchestration workflows (Airflow) to deliver reliable, analytics-ready data for business intelligence and machine learning.
Senior Software Engineer, Data Engineering & AI
Build and optimize data pipelines and AI models for a product-focused team in Islamabad.
Data Engineer
Builds and optimizes Microsoft Fabric lakehouse pipelines, PySpark transformations, and Power BI reports for a healthcare revenue-cycle SaaS platform.