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Data Engineer Azure

We are looking for an experienced Azure Data Engineer to leverage the data obtained from disparate system of records and extract meaningful insights from the same. Our ideal hire has enough experience and expertise with data ETL/ELT, Analytics combined with equivalent flair in visualization in conjunction with curiosity and creativity. Hands-on experience on modern Cloud based Azure data platform (Data Lake, Synapse etc) is a must. Beyond technical prowess, the candidate would also have to be in possession of the soft skills to communicate highly complex data trends to organizational leaders in a way thats easy to understand. We're looking for someone willing to jump right in to help the company get the most out of our data especially operational. 

IT Architecture & Cloud platforms
Digital Transformation
Professional (3+)

Your challenges

  • Extract meaningful insights from vast disperate datasets;
  • Develop Data models and patterns for Data Platform Solutions;
  • Conceptualize and solution a centralized modern Datawarehouse solution (using Azure Data Platform).

This is you

  • Minimum 10 years IT experience, with at least 5+ years experience in Data intensive activities; 
  • Data Modeling, ER Diagram, ETL, Data mapping, Data Governance and Data security;
  • Experience on Cloud Tool & Technology viz. ADO, ServiceNow, Azure Monitoring, Performance Management;
  • Experience in End to End solutioning and implementation of large Data Lake or Data Warehouse solutions;
  • Certification on Azure and Data Platform Solutions.
* These criteria are an indication of the profile we are looking for. Research shows that male candidates often apply when they see a 60% match with the profile, while women only apply when they see a 100% match. If you don’t meet all the criteria but you do believe that this is the right position for you, we kindly invite you to apply anyway or get in touch.
KPMG Technology
KPMG Technology
KPMG Technology

Your role as
Data Engineer Azure?

As Data Engineer your goal is to find meaningful insights from data using models (AIML) and develop data models and patterns for Data Platform Solutions. You'll assembling large, complex sets of data that meet non-functional and functional business requirements. Conceptualize and solution a centralized modern Datawarehouse solution (using Azure Data Platform) to bring data from disparate sources and serve to business. You work closely with development team to provide technical guidance, review designs and technical deliverables. You work with Senior Executives of Client Organization and able to write solution architecture strategy documents/white papers. Agreed solutions will be presented to the  business to get buy-in on the strategy and roadmap.

Examples of your tasks are but not limited to:
- Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes;  
- Build and maintain required infrastructure for optimal extraction, transformation and loading of data from various data sources; 
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition; 
- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.



What we offer

  • A competitive salary on the level of Manager;
  • 30 holidays;
  • A pension plan fully paid for by KPMG;
  • A laptop and iPhone which can also be used privately
  • A lease car or mobility budget;
  • Discounts on insurances and tax benefits for a gym membership;
  • Many social activities and chances to develop yourself.
Stakeholder Management

Yes, I want to apply

* Required field

Let’s meet Sergio Koosman