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
Fabric Data Engineer: Lakehouse & Data Factory Lead
Build and manage data pipelines and analytics infrastructure using Microsoft Fabric, Data Factory, Dataflows Gen2, Lakehouse architectures, and Azure data services for enterprise reporting.
Senior Azure Databricks Engineer - Spark & Data Platform
Senior Azure Databricks Engineer designing and optimizing scalable data platforms, owning end-to-end data pipelines and data lake architectures, leading ETL/ELT development, optimizing Spark workloads, and mentoring junior engineers using Azure Databricks and Spark.
Senior Data Engineer & Architecture Lead
Lead architecture and engineering standards for enterprise platforms, guiding multiple squads on solution design, cloud practices, and CI/CD while mentoring engineers.
Data Engineer
Leads engineering teams to design, build, and deliver scalable enterprise software solutions using cloud, APIs, microservices, and DevOps practices.
Data Engineer & Analyst| Karachi| Onsite| Salary in PKR
Senior Data Engineer builds scalable pipelines and Power BI reports using Microsoft Fabric and Azure for a UK-based real-estate developer in Karachi.
Data Engineer (Azure Experience) | KHI | Hybrid | PKR Salary
Build and migrate SQL Server/SSIS pipelines into Azure Data Factory, designing reusable ADF components and advising on best practices for a UK-focused data consultancy.
Senior Data Platform Engineer: Lakehouse & Cloud DataOps
Own and modernize the data stack by building a lakehouse with S3, Redshift Spectrum, and dbt, while scaling MWAA and optimizing pipelines for reliability and cost.
Senior Data Platform Architect - AWS Redshift & Pipelines
Designs and builds scalable cloud data platforms using AWS Redshift and Airflow pipelines for a global client.
Senior Data Engineer
Designs and maintains scalable data pipelines using Airflow, Spark, Kafka, and Iceberg tables, containerized via Docker/Kubernetes and deployed through GitLab CI/CD.
Data Engineer
Build and maintain scalable data pipelines, warehouses, and semantic models in Microsoft Fabric and Azure Data Factory to power reporting and integrations for nonprofit-focused software.
Data Platform Engineer – Fabric & Azure
Builds and maintains scalable data pipelines using Azure Data Factory and Fabric lakehouses, refactors CADS data flows, and ensures secure data processing for a product company.
Senior Data Engineer: AWS Redshift & Oracle PL/SQL
Senior Data Engineer builds and maintains AWS Redshift pipelines and ETL workflows, writes Oracle PL/SQL and PostgreSQL queries, and optimizes data platforms in a hybrid role.
Lead Data Engineer - AWS, Redshift & Oracle/PostgreSQL
Lead a team to design and optimize data pipelines and warehouses using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers.
Principal Data Engineer (PySpark)
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Azure Data Engineer: Pipelines, Databricks & SQL
Build and maintain Azure data pipelines using Data Factory, Databricks, and SQL, plus API integrations and Power BI datasets.
Data Engineer
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Lakehouse Data Engineer: Modernization & Migration
Build and migrate production-critical data pipelines from a legacy Hadoop warehouse to a Spark 3 / Iceberg lakehouse, using Spark, Hive, Iceberg, and Airflow.
Data Engineer
Build and maintain Azure-based data pipelines and transformations using Data Factory, Databricks, and SQL, with API integrations and Power BI support.