AI & Data Engineer at KPMG
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

24 Jan, 27

Salary

70000.0

Posted On

26 Oct, 26

Experience

15 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Join KPMG in tackling the future challenges of our clients. Be inspired by the diversity of the issues we address – and make a difference with us. As part of your Analytics team in the Markets division, you will develop data products for various internal target groups – always with the goal of enabling data-driven decisions and creating real impact.



Your tasks:


Do you want to create real added value with data, utilize modern technologies, and actively support our go-to-market strategy? Then this is the place for you!

  • As an AI & Data professional in our internal analytics team, you will develop data-driven solutions and AI applications for marketing, business development and sales.
  • You work with internal and external data sources, analyze and model data for various professional questions, and thus create the basis for data-driven decisions.
  • Together with the team, you will develop AI-supported solutions and modern automation approaches to simplify processes and make relevant information available more quickly.
  • You will support the development and expansion of our data platform based on modern technologies such as Microsoft Azure and Databricks.
  • Together with our stakeholders, you will translate technical requirements into sustainable, scalable data and AI solutions.





Your profile


  • To become an AI & Data Engineer with us, you need a completed degree in economics, (business) informatics/IT, mathematics, natural sciences, psychology or a comparable field of study.
  • You have sound knowledge of SQL as well as initial practical experience with Python or R and enjoy making data usable for analytical and AI-supported use cases.
  • Prior experience in the field of artificial intelligence, machine learning, or generative AI is advantageous.
  • Ideally, you already have some experience with modern data platforms and cloud technologies such as Microsoft Azure or Databricks.
  • You have a good understanding of data modeling and analyze complex relationships in a structured and goal-oriented manner.
  • You work independently, have a high willingness to learn, and are enthusiastic about data-driven innovations and new technologies.
  • You communicate confidently with different stakeholders, present complex issues in an understandable way, and enjoy working at the interface between specialist department and technology.



Your benefits


  • Welcome to the team! To ensure you get off to a great start, we'll support you with structured onboarding measures throughout your orientation phase. Your manager will also actively promote your professional and personal integration into the team.
  • Diverse career prospects: We value the individual development of your professional and personal strengths. We reflect on your ambitions in structured development discussions. Systematic and regular feedback sessions support you in achieving these goals. With our diverse range of exciting clients and challenges, we offer you interesting career opportunities and valuable insights into the variety of our fields of activity.
  • Work-Life Balance: We are convinced that diversity and flexibility are essential for fostering innovation and ensuring long-term success. Only in this way can we develop the best ideas and find truly innovative solutions. With flexible working hours, a home office option, time accounts, and sabbaticals, we create opportunities to reconcile your private and professional life. Furthermore, we support you with up to four hours of paid time off per month for your social engagement.
  • Further training and education: Through regular training sessions, workshops and further education courses, you will continuously develop your skills.
  • The services shown may vary slightly depending on the position and location.

How To Apply:

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Responsibilities
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