Azure Data Engineer

Job Description :

We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role.

The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.

This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.

The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution.

Core Responsibilities:

• Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
• Design and implement modern ETL/ELT pipelines in Azure
• Assess and refactor existing SSIS packages as part of broader modernization efforts
• Architect Lakehouse / Medallion data models
• Develop optimized dimensional data models (star schema)
• Integrate data from SQL Server, Oracle, APIs, and security platforms
• Design and deploy enterprise Power BI dashboards
• Build paginated reports using Power BI Report Builder
• Optimize DAX and dataset performance
• Implement Row-Level Security (RLS)
• Support CI/CD and DevOps deployment processes
• Produce technical documentation and data lineage artifacts
• Engage directly with executive stakeholders

Required Technical Skills: (Must-Have)

Data Engineering & Architecture:

• Strong ETL/ELT design and optimization experience
• Advanced SQL (expert-level required)
• Python / PySpark
• Dimensional data modeling (star schema required)
• REST API integrations

Azure Data Stack:

• Azure Data Factory

• Azure Databricks

• Azure Synapse Analytics

• Azure Data Lake Storage

Microsoft Data Platform:

• Experience with SQL Server data warehouse environments

• Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions

Power BI:

• Power BI Desktop (expert-level)
• Advanced DAX
• Executive dashboard development
• Paginated reports (Power BI Report Builder)
• Data Gateway configuration
• Incremental refresh
• Row-Level Security (RLS)

Nice to Have:

• Microsoft Purview
• Terraform (Infrastructure-as-Code)
• Orchestration tools (Airflow or equivalent)
• Security systems data integration experience
• Experience with C# / .NET web application development (for integration with internal systems or APIs)

Experience Requirements:

• 7+ years of hands-on data engineering / analytics delivery
• Demonstrated experience building production data pipelines in Azure
• Proven experience delivering executive-facing Power BI solutions
• Experience working in complex enterprise environments

Software Skills:

• 4–6 years of experience in Azure for building, deploying, and managing cloud-based data and application services.

Technical Skills:

• 2–4 years of experience in .NET code development for developing and maintaining enterprise applications and data processing components.
• 6+ years of experience in Data Modeling including designing logical and physical data models for enterprise data warehouses and analytics systems.
• 6+ years of experience in Python scripting for data processing, automation, ETL development, and data transformation tasks.
• 6+ years of experience in Structured Query Language (SQL) for writing complex queries, stored procedures, performance tuning, and data manipulation.