About the job Data Engineer (Azure Experience) | KHI | Hybrid | PKR Salary
Hiring Data Engineer (Azure Experience) - KHI | Hybrid
Client company introduction: The company is a growing consultancy specializing in data analytics, providing high-quality, impactful data solutions to clients based in the UK.
Job Overview:
Seeking an experienced Azure Data Engineer to support the migration of an existing on prem/Azure VM–hosted SQL Server and SSIS estate into Azure Data Factory (ADF). The role will focus on assessing, redesigning, and migrating SSIS packages into maintainable ADF pipelines, while advising on best practices and delivering the work in phased releases. This is a hands-on delivery role combined with technical guidance and architecture input.
Key Responsibilities:
Review existing SSIS packages (~115)
Categorize complexity (simple / medium / complex)
Design ADF equivalents & Consolidate similar jobs into reusable pipelines where feasible
Build and deploy in phased batches
Provide testing support and handover
Advise on ADF architecture and best practices
Provide rough effort estimates and resource planning
Requirements:
Core technical skills required Azure & Data Platform
Strong hands-on experience with Azure Data Factory
- Experience designing:
Pipelines
Parameterized templates
Reusable datasets
Linked services
Triggers & scheduling
Monitoring, logging and error handling in ADF
CI/CD for ADF (ARM/Bicep/Terraform or Azure DevOps/GitHub) SQL & ETL
Deep experience with SQL Server Integration Services
Proven experience migrating pipelines to ADF
ETL/ELT design patterns
Data transformation and ingestion from files (Excel, CSV, flat files) Azure Infrastructure
Experience working with:
Azure Virtual Machines o Storage accounts / Blob / ADLS Practical experience expected Candidates should demonstrate experience with:
Assessing existing pipelines and producing migration approaches
Lift & shift vs refactor decision making
Consolidating similar jobs into parameterized pipelines
Designing modular, reusable ADF components
Batch delivery / phased releases
Unit testing & data validation
Documentation and knowledge transfer
Providing best practice guidance and mentoring
Bachelor's degree in Computer Science, IT, Data Science, Software Engineering, or a related technical field.
Must have 2 years or above experience in the Data Engineering field.
Other Details:
- Working Days: Monday - Thursday (Onsite) - Friday WFH
- Work Timings: 8:00 AM to 5:00 PM UK Timings
(12:00 PM to 9:00 PM PKT in Summer & 1:00 PM to 10:00 PM PKT in Winter) - Work Mode: Karachi - Hybrid
- Location: Tariq Road, Delhi Society - Karachi
- Experience: 2 years or above
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