Data Engineering Jobs in Pakistan
There are 242 open Data Engineering jobs in Pakistan on freehire right now. 43 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 64%
- etl 57%
- data-engineering 52%
- analytics 46%
- python 41%
- data-quality 41%
- elt 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 85
- 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 Data Engineer - PySpark & AWS Data Platforms (Hybrid)
Designs and optimizes large-scale data pipelines and warehouses using PySpark, AWS Glue, and Redshift, ensuring efficient ETL/ELT workflows in a hybrid UAE-time collaboration.
Senior Data Engineer - PySpark, AWS Glue & Redshift
Designs and optimizes large-scale data pipelines using PySpark, AWS Glue, and Redshift to support client needs in a distributed team.
Lead Data Engineer: Redshift Modernization & Airflow
Lead a team to migrate a legacy Oracle data warehouse to Amazon Redshift, optimizing performance and mentoring engineers using AWS Data Engineering and Redshift expertise.
Senior Data Engineer – AWS: Real-Time Pipelines & Redshift
Senior Data Engineer builds and maintains AWS-based data pipelines and Redshift warehouses using Python, SQL, Glue, and Lambda.
Senior Data Engineer – AWS: Real-Time Pipelines & Redshift
Builds real-time data pipelines and ETL workflows on AWS (Glue, Redshift, Lambda) to feed scalable analytics platforms for a data-focused product team.
Principal Data Engineer – PySpark & Real-Time Pipelines
Designs and maintains real-time and batch data pipelines using PySpark, Kafka, Flink, and Azure Data Factory, while mentoring a data engineering team.
Cloud Data Engineer | Azure/AWS, Spark, Pipelines & NoSQL
Designs and builds cloud data pipelines on Azure/AWS, optimizes SQL scripts, and implements data warehouse solutions for large datasets.
Senior Data Engineer — PySpark & AWS Glue Expert
Designs, builds, and optimizes large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for a UAE customer.
Lead Data Engineer — AWS Data Platform (Hybrid, Pakistan)
Design, build, and optimize AWS-based data platforms and ETL/ELT pipelines using PySpark, AWS Glue, EMR, and Redshift for a UAE client.
Azure Data Engineer | Power BI & Synapse Specialist
Designs and builds Azure data pipelines with Data Factory and Synapse, then delivers interactive Power BI reports for business insights.
Senior Data Engineer: Cloud ETL & Databricks
Designs, builds, and maintains scalable cloud data pipelines and ETL workflows using cloud services and Databricks.
Senior Data Engineer II: ELT Pipelines, ODI & Data Security
Designs and builds ELT pipelines, ODI-based data models, and secure on-prem data warehouses/lakes to power analytics and reporting for Pakistan’s trade facilitation system.
Senior ODI Data Engineer - ELT, Data Warehouses & Security
Designs and builds ELT pipelines with Oracle Data Integrator to load and transform data into secure on-prem data warehouses and lakes while enforcing encryption and access controls.
Senior Data Engineer: .NET, Angular & Postgres (ETL/API)
Designs and optimizes data platforms, builds scalable APIs, and develops full-stack apps using C#/.NET and Angular with Postgres.
Lead Data Engineer - AWS, Redshift & Oracle/PostgreSQL
Lead a team to design and optimize data platforms using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers and overseeing data migration projects.
Azure Data Engineer: Power BI & Synapse Expert
Builds and maintains Azure data pipelines with Data Factory, models data in Synapse Analytics, and creates interactive Power BI reports for business insights.
Lead Data Engineer: AWS, Redshift & Oracle/PostgreSQL
Lead the design and optimization of scalable data platforms using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers and architecting enterprise data pipelines.