Senior Data Engineer (m/f/d)
Frankfurt, Germany
Applications have closed
KION Group
Wir sind ein führender Anbieter für Gabelstapler und Lagertechnik sowie Automatisierungstechnologien und Softwarelösungen für die Optimierung von Lieferketten.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.
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 Oliver Kemnitz.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data CI/CD Data Analytics Databricks Data governance Data management Data pipelines Data quality Engineering ETL GCP Git Google Cloud Kafka Machine Learning Pipelines Power BI Python SQL Testing
Perks/benefits: Career development Flex hours Salary bonus Team events
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