AI- & Data-Engineer (w/m/d) at KPMG Deutschland

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 26

Salary

50000.0

Posted On

22 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Do you want to use your expertise to advance our field? Then you can get involved here from October 1st, 2026 :

As an AI Engineer in our Analytics team, you will develop data-driven solutions and innovative AI applications for marketing, business development and sales.
Building high-performance data pipelines and data models for analytics, BI and AI use cases is also part of your responsibilities.
Furthermore, you will contribute to the conception, development and operation of modern agent-based workflows for the automation of business processes and recommender systems.
You will help shape the planning and implementation of modern cloud architectures (e.g., Microsoft Azure, Databricks) and contribute to the optimization of ETL/ELT processes and data pipelines.
Together with our stakeholders, you will translate technical requirements into sustainable, scalable data and AI solutions.

Your profile

A completed degree in (business) informatics, data science, (business) mathematics, (business) engineering, physics or a comparable field of study forms the basis of your qualification.
You have proven programming skills in Python or R as well as SQL. You are also familiar with relevant libraries and frameworks such as LangChain, PyTorch, Pandas, NumPy, etc.
Prior experience in Artificial Intelligence, Machine Learning, Natural Language Processing (NLP) or Generative AI is advantageous.
Knowledge of cloud technologies (e.g. Azure, Databricks, Copilot Studio) as well as a basic understanding of data architectures, ETL/ELT processes and data pipelines are a plus.
Analytical thinking skills, a structured way of working, a high willingness to learn and problem-solving skills, as well as enthusiasm for technology and AI, round off your profile.

Responsibilities

Do you want to use your expertise to advance our field? Then you can get involved here from October 1st, 2026 :

As an AI Engineer in our Analytics team, you will develop data-driven solutions and innovative AI applications for marketing, business development and sales.
Building high-performance data pipelines and data models for analytics, BI and AI use cases is also part of your responsibilities.
Furthermore, you will contribute to the conception, development and operation of modern agent-based workflows for the automation of business processes and recommender systems.
You will help shape the planning and implementation of modern cloud architectures (e.g., Microsoft Azure, Databricks) and contribute to the optimization of ETL/ELT processes and data pipelines.
Together with our stakeholders, you will translate technical requirements into sustainable, scalable data and AI solutions.

A completed degree in (business) informatics, data science, (business) mathematics, (business) engineering, physics or a comparable field of study forms the basis of your qualification.
You have proven programming skills in Python or R as well as SQL. You are also familiar with relevant libraries and frameworks such as LangChain, PyTorch, Pandas, NumPy, etc.
Prior experience in Artificial Intelligence, Machine Learning, Natural Language Processing (NLP) or Generative AI is advantageous.
Knowledge of cloud technologies (e.g. Azure, Databricks, Copilot Studio) as well as a basic understanding of data architectures, ETL/ELT processes and data pipelines are a plus.
Analytical thinking skills, a structured way of working, a high willingness to learn and problem-solving skills, as well as enthusiasm for technology and AI, round off your profile.