What we offer:

KION is expanding its global Big Data Analytics & AI Platform that supports a large variety of different use cases from explorative Data Analytics through Machine Learning Projects or Power BI dashboards. This position is meant to be the IT counterpart for those projects.

We are looking for a highly skilled and experienced Professional Data Engineer as an extension to the Analytics Team.

The KION Analytics Platform is KION’s cloud data platform for analytics, data science and AI use cases. It holds data from various source systems and provides services and infrastructure for data analysts and data scientists to kickstart their projects. Among others, the platform comprises of following services:

- Azure DataLake

- Azure Data Factory

- Azure Databricks

- Dremio

- GCP VertexAI

- Power BI

We are making sure all projects have the adequate data and tools they need to provide further insights to grow and optimize KION’s Business.

Tasks and Qualifications:

Responsibilities

To be successful in this demanding role, your proven track record will enable you to deliver against the following key performance areas:

• Design, develop and operate robust data pipelines in Azure Data Factory and Databricks
• Build data transformations in Databricks and Dremio based on business needs
• Develop and implement data quality and data governance frameworks
• Support and advise a variety of projects on big data
• Collaborate with data analysts and scientists to ensure data availability, accuracy, and quality
• Advice and consult business partners to use data efficiently
• Develop and maintain scalable and efficient ETL processes
• User support, incident and change management for applications and services
• Operate and support KION Analytics Platform architecture and corresponding toolset
• Monitor and analyze data and metrics of the platform
• Create and maintain documentation and training materials for platform users

Qualifications

• Minimum of 2 years’ experience in data engineering, data management, or related field
• Good understanding of data, databases, and data lakes in general
• Experience with cloud-based data storage and processing platforms (e.g., AWS, Azure, Google Cloud Platform)
• Strong proficiency in a programming language (preferably Python, SQL, Powershell, Bash)
• Experience with IoT Data and related technologies (e.g., Kafka)
• Proficiency in professional software development (testing, Git, CI/CD)
• Experience with creating solutions within a collaborative, cross-functional team environment
• Good problem-solving skills and the ability to troubleshoot complex data issues
• Motivation to think out of the box coupled with a hands-on mentality
• Proven track record of delivering value from data
• Strong communication skills (English required C1/C2)
• Self-starter, detail oriented, excellent time-management/schedule skills, ability to meet deadlines, desire to learn
• Resume/CV must be submitted in English
• Willingness to travel up to 10% internationally