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

Kion Group AG

Kion Group AG

Software Engineering, Data Science
Frankfurt, Germany
Posted on Tuesday, October 10, 2023
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 41,000 people in over 100 countries, and are thus playing a key role in driving the future of intralogistics.

  • A state-of-the-art IT organisation: modern IT equipment & mobile devices, international teams, multi-cloud strategy (Azure & GCP), Agile methods

  • Our basics: Flexible working hours, part-time models, opportunity to work mobile up to 3 days per week, employer-funded company pension scheme, opportunity for deferred compensation with employer subsidy, opportunity to lease a company bike,

  • Attractive compensation: Compensation according to the Bavarian metal and electrical collective agreement, extensive fringe benefits (including Christmas/holiday bonus), allowances for canteen food

  • Vibrant community: Regular company events and professional workshop formats with opportunities for internal networking

  • Move on together: Standardised and documented feedback process with international career opportunities and individual development offers.

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

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)

  • 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 Alexander Schüler.