Data Engineer (m/w/d)

About KMH

Do you want to create real added value for communication between companies and their customers, not just operate technical systems? At KMH, we develop solutions that combine modern data architectures with intelligent customer interaction. Our goal is to shape the contact centers of the future – data-driven, automated, and human at the same time.

As a Data Engineer, you will become part of our expert team for Data and Conversational AI. You will work at the interface between data, AI, and communication, developing data-based logic that makes contact center platforms smarter. You will learn the mechanisms and possibilities of modern systems like Genesys Cloud and build targeted knowledge on how data processes and AI models can be used to personalize and automate interactions. Your work will lay the foundation for companies to reach their customers at the right moment with the right message via voice dialogues, chatbots, or automated campaigns.

(m/f/d) you will work at the interface between data architecture, cloud technology, and operational business. You will develop scalable data pipelines, ensure clean data flows, and, together with us, design platforms that our customers can sustainably build upon – whether in Databricks or AWS.

What awaits you in the team

• Building & further developing data pipelines (ETL & Streaming)
• Developing data models with Python, SQL, Spark & Databricks
• Integrating and configuring contact center platforms (e.g., Genesys Cloud including APIs, data flows & system logic)
• Optimizing and further developing prompting strategies for Conversational AI applications (e.g., dialogue logic, context control, quality of responses)
• Providing, preparing, and using data for Conversational AI & automation
• Quality assurance, performance optimization & standardization of data and AI processes
• Close collaboration with specialist departments, product teams & agile development teams

What we expect from you

• At least 2-3 years of experience in the mentioned areas of responsibility
• Knowledge in the area of Data Warehousing or Data Engineering regarding data modeling, ETL processes, and cloud-based data platforms
• Experience with Databricks and Genesys is desirable
• Knowledge of query or programming language(s) e.g., in Python, SQL, Spark, and modern data processing technologies
• First experience with generative AI & prompting strategies
• First experience with agile approaches (based on Scrum) in development and project implementation, ideally in Atlassian Jira
• Very high commitment and willingness to learn and familiarize yourself with new topics
• Analytical thinking skills and good conceptual abilities
• Strong team and communication skills, as well as a service-oriented and customer-focused mentality
• Very good German language skills, both written and spoken (at least C1 level)
• Willingness to be present regularly at our location in Cologne as part of a hybrid work model

Our Benefits

• Free choice of hardware according to your wishes, including a smartphone
• Flexible working hours with a significant home office component
• Modern and high-quality furnished offices with ergonomic workstations
• Generous and individual training opportunities as well as mentoring
• 30 days of vacation

If you are eager to support our team with your skills, experience, and personality, then apply now!

Interested? We look forward to receiving your application!

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Location

KMH GmbH, Cologne