Senior Data Engineer Analytics & AI (m/f/d)

KION is expanding its global Big Data Analytics 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 Senior Data Engineer as an extension to the Analytics Team within KION Information Management Systems.

What we offer:

A company with a bright future: As a listed M-Dax company, we already employ more than 42,000 people in over 100 countries and are thus significantly driving the future of intralogistics while pursuing a clear sustainability strategy

Moving forward together: Standardised and documented feedback process with international career opportunities and individual training opportunities

Individual benefits: Modern IT equipment (also for the home office) & mobile devices, Employee Assistance Programme - comprehensive support programme for individual crisis situations, subsidised Germany ticket, parking facilities, option to lease a company bike, exclusive benefits/discounts for employees

Our basics: flexible working hours, part-time models, option of regular mobile working from home, flexitime account, attractive remuneration package, company pension scheme, canteen

Tasks and Qualifications:
What is it about?

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 DataFactory

Azure Databricks

Dremio

Azure Machine Learning

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.

Your responsibilities

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

Support and advise a variety of projects related to Analytics and AI, especially Generative AI and Machine Vision

What we are looking for

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)

Good understanding of data, databases, and data lakes in general - vector and/or neuronal databases as a plus

Experience with cloud-based data storage and processing platforms (e.g., ...) - preferably experience with e.g., GCP Vertex AI, Azure AI Studio and others

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

Very good knowledge of English and good communication skills

Proven track record of delivering value from data

If this interesting and versatile task appeals to you, we look forward to receiving your online application. Your contact person is Oliver Kemnitz.