Advisory Challenger Academy 2025 - Data Engineer NewTech

Are you excited about transforming industries with cutting-edge data technologies? Imagine working with clients across various sectors, helping them harness the power of data to solve their toughest challenges. We are looking for Challengers ready to dive into exciting data engineering projects from day one, designing scalable data pipelines and turning raw data into actionable insights.

Perks of joining our amazing team

At KPMG NewTech, we drive business transformation through innovation, automation, and data-driven insights. Our team delivers impactful projects across industries, always pushing the boundaries of AI, automation, and strategic analysis to create real value for clients. Collaboration is at the heart of everything we do, with a diverse team of business analysts, automation experts, and technology enthusiasts.

We foster a supportive, open culture where new ideas are encouraged and valued. Our team thrives on collaboration and continuous learning, ensuring everyone has opportunities for personal and professional growth. Beyond work, we enjoy social events and team-building activities that strengthen our close-knit community.

What sets us apart is our relentless focus on innovation, consistently staying ahead with the latest technology in automation and AI. Through our hands-on "consulting-by-doing" approach, we provide real-world experience from day one, empowering our team to make a tangible impact while accelerating both professional development and client success.

KPMG Challenger Academy

At KPMG, you have the freedom to shape your own career. With endless opportunities to grow, learn, and take on new challenges, the KPMG Challenger Academy is where you build a future you are excited about. As part of the Academy, you set your own goals, work on interesting client projects, and get the best training to develop yourself. To make things even better, you get your own Koach (not Coach—we did spell-check this job ad, but KPMG’s equivalent of a performance manager) to help you reach your full potential and achieve your goals.

The Academy is designed for your early career after graduating your master studies. The Academy is split into 3 dynamic off-site modules, each designed to get you started in your new role and develop you as a consultant. Regardless of whether you are a recent graduate or bring previous experience, we ensure that everyone starts from the same point with equal opportunities to grow professionally.

Curious to know more about the KPMG Challenger Academy? You can read much more here.

Do you recognize yourself in the following?

You are passionate about building data systems that empower organizations through intelligent data use. You thrive when solving complex challenges, especially in designing and managing scalable data pipelines and architecture. You enjoy working with SQL, ETL processes, and cloud platforms, ensuring the seamless flow of quality data across systems. Python, Microsoft tools, and Git are part of your toolkit, and you’re excited to apply these skills to build resilient data environments. Above all, you have a deep interest in data as the foundation for AI and analytics, and you’re driven to explore how cutting-edge technologies can enhance data systems. 

Examples of tasks that you will do:

• Design and develop data pipelines that efficiently handle large datasets across multiple platforms.
• Design, develop, and maintain data infrastructure to support operational processes, reporting needs, AI and machine learning models
• Collaborate with cloud technologies (Azure, AWS, GCP) to build scalable data architectures.
• Implement ETL processes to ensure smooth data integration and maintain data quality.
• Work with Python, Microsoft tools, and Git for coding, automation, and version control.
• Contribute to building a robust data foundation for AI and analytics solutions.

Are you ready to take on the challenge and become part of KPMG? Send your application today!

If you have any questions or would like more information, please contact Christian Dausgaard [email protected] or on phone +45 40 99 77 56.

We are excited to receive your application. The deadline for applying is 31 December or as soon as we have found our new team member. This might be before the final deadline since we invite candidates for interviews on an ongoing basis.

Please note that we do not accept applications by e-mail to ensure GDPR compliance.

At KPMG, we are committed to developing diverse talent at all levels. We encourage all interested candidates to apply, regardless of age, race, gender identity, sexual orientation, disability, religion, or ethnicity.

We can’t wait to hear from you!