Data Engineer, Azure Experience

HR Ways - Hiring Tech Talent

Azure Data Engineer migrating SQL Server and SSIS workloads into Azure Data Factory. Delivering reusable pipelines and phased releases for a UK-focused data analytics consultancy.

Posted 8/13/2026full-timeKarachi • 🇵🇰 PakistanJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Azure Data Factory, including pipeline design, parameterized templates, and reusable components. Proficient in SQL Server Integration Services and experienced in data migration, transformation, and best practices in data engineering.

Highest-signal resume keywords

Azure Data FactorySQL Server Integration ServicesData MigrationCI/CD for ADFETL/ELT Design Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Pipeline DesignParameterized TemplatesReusable DatasetsTriggers and SchedulingMonitoring and LoggingError HandlingData TransformationData IngestionUnit TestingData Validation

Soft Skills

Best-Practice GuidanceMentoring

Tools & Technologies

Azure DevOpsGitHubARMBicepTerraformAzure Virtual MachinesAzure Storage AccountsBlob StorageADLS

Industry Keywords

Data EngineeringMigration ApproachesLift-and-Shift DecisionsPhased ReleasesDocumentationKnowledge Transfer

Tech Stack

Tools & technologies

AzureETLSQLSSISTerraform

About the role

Key responsibilities & impact

Review approximately 115 existing SSIS packages
Categorize packages as simple, medium, or complex
Design Azure Data Factory equivalents
Consolidate similar jobs into reusable pipelines where feasible
Build and deploy pipelines in phased batches
Provide testing support and handover
Advise on ADF architecture and best practices
Provide rough effort estimates and resource planning
Assess existing pipelines and produce migration approaches
Make lift-and-shift versus refactor decisions
Design modular, reusable ADF components
Support unit testing and data validation
Prepare documentation and knowledge transfer
Provide best-practice guidance and mentoring

Requirements

What you’ll need

Bachelor's degree in Computer Science, IT, Data Science, Software Engineering, or a related technical field
At least 2 years of experience in the Data Engineering field
Strong hands-on experience with Azure Data Factory
Experience designing pipelines, parameterized templates, reusable datasets, linked services, triggers and scheduling
Experience with monitoring, logging, and error handling in ADF
Experience with CI/CD for ADF using ARM, Bicep, Terraform, Azure DevOps, or GitHub
Deep experience with SQL Server Integration Services
Proven experience migrating pipelines to ADF
Knowledge of ETL/ELT design patterns
Experience with data transformation and ingestion from Excel, CSV, and flat files
Experience working with Azure Virtual Machines
Experience with Azure Storage accounts, Blob Storage, or ADLS
Experience assessing existing pipelines and producing migration approaches
Experience making lift-and-shift versus refactor decisions
Experience consolidating similar jobs into parameterized pipelines
Experience with batch delivery and phased releases
Experience with unit testing and data validation
Experience with documentation and knowledge transfer
Experience providing best-practice guidance and mentoring
Availability for 8:00 AM–5:00 PM UK time

Benefits

Comp & perks

Hybrid work arrangement
Friday work from home
Monday–Thursday onsite schedule