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 DatabricksBuild data transformations in Databricks and Dremio based on business needsDevelop and implement data quality and data governance frameworksSupport and advise a variety of projects on big dataCollaborate with data analysts and scientists to ensure data availability, accuracy, and qualityAdvice and consult business partners to use data efficientlyDevelop and maintain scalable and efficient ETL processesUser support, incident and change management for applications and servicesOperate and support KION Analytics Platform architecture and corresponding toolsetMonitor and analyze data and metrics of the platformCreate and maintain documentation and training materials for platform users

Qualifications

Minimum of 2 years’ experience in data engineering, data management, or related fieldGood understanding of data, databases, and data lakes in generalExperience 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 environmentGood problem-solving skills and the ability to troubleshoot complex data issuesMotivation to think out of the box coupled with a hands-on mentalityProven track record of delivering value from dataStrong communication skills (English required C1/C2)Self-starter, detail oriented, excellent time-management/schedule skills, ability to meet deadlines, desire to learnResume/CV must be submitted in EnglishWillingness to travel up to 10% internationally