Senior Data Engineer

The KPMG Delivery Network (KDN) is a KPMG special purpose member firm offering a way for clients to leverage KPMG top talent and technology platforms through regional teams of specialists, enabling economies of scale and a new way of working that expands beyond local capability

Together with KDN, KPMG member firms can drive the sales and delivery of global solutions at a competitive price and in a repeatable and consistent manner. As a member of KDN, you’ll be a part of the KPMG family working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to our clients, and driving positive change in the communities we serve.

You’ll be enabling KDN accelerate new ways of working, using cutting-edge technology and working together with our member firms located in nearly 150 countries to help us achieve our ambition to be the most trusted and trustworthy professional services firm. 

And through your work, you’ll build a global network and unlock opportunities that you may not have thought possible with access to great support, vast resources, and an inclusive, supportive environment to help you reach your full potential.

Our KDN Cloud unit is focused on designing, building, securing and managing cloud native & hybrid platforms for the KPMG group of member firms, as well as providing cloud advisory and engineering services to external clients.

We are looking for an experienced professional with several years of project experience building data-intensive solutions and proven project experience with Modern Data platforms (Fabric/Databricks/Synapse). You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

• →Assist clients to transform their business and solve complex problems by defining the scope and vision for projects that deliver customized solutions
• →Implement solutions that are aligned with the KPMG security and data integrity enterprise standards
• →Build large-scale high-performing data solutions
• →Utilize data warehouses and data lakes
• →Troubleshoot performance-related issues
• →Identify ways to improve data reliability, efficiency and quality
• →Build solutions to gain optimal insights from diverse data by leveraging machine learning and AI
• →Leverage cloud services and implement data analytics solutions in the cloud
• →Build constructive working relations across teams, functions and cultures and demonstrate KPMG behaviors and values
• →Consult and escalate operational issues and challenges beyond own experience or skillset
• →Contribute to the necessary documentation

• Good knowledge of at least one cloud technology with a focus on database and data warehouse technologies, databases, and data-related technologies in the cloud
• Must have experience with: Data Lake Technologies (Apache Spark, Azure Synapse or Databricks), Python/ PySpark, MS-SQL
• Ideally to have experience with: DevOps, MS Azure, Data Modelling (Data Vault, Analytical Data Modelling)
• Very good experience with data storage and retrieval
• Good knowledge of at least one modern data warehousing technology
• Knowledge of data lake technologies and optimized storage formats
• Proven presentation and communication skills. Proven leadership and problem-solving skills. Highly motivated and result-oriented
• Fluent in English, German is an advantagе