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