Data Engineer

Overview

Job description:
ZF is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility. ZF allows vehicles to see, think and act. In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers. With its products and its more than 150,000 employees around the world, ZF contributes to reducing emissions, protecting the climate and enhancing safe mobility.

We are currently looking for skilled people that want to have an impact with their work to join our web portal and e-commerce team in our existing office in Pilsen. Over the next 12 months, this team will be working to bring a new customer-facing platform from concept to production through a deeply collaborative effort between our Marketing, IT, UX, Product and Data members. The team will leverage the company’s existing knowledge of both the industry and technologies to create a digital product that will help reduce CO2 emissions of fleets, improve road safety and provide predictability and value to its customers. This is a unique opportunity to have an early and significant impact on shaping both the new Aftermarket organization and product while having the security of being part of one of the world’s largest automotive suppliers.

About the Data Engineer:
As a Data Engineer, you are part of a small highly skilled, innovative, and motivated development team in the construction and exploitation of new digital solutions for ZF Aftermarket developed using cutting-edge technologies in web and mobile applications, together with cloud computing. You will be working closely with the data team, marketing team and IT developers, to build responsive, data-centric rich web and mobile applications.

Your tasks:

•Understand the user requirements and transform it into the data output.

•Data model design and data transformation for data consumers such as frontend team.

•Design and implement the ETL for various backend data sources

•Build and deliver the outputs using tools such as SQL, MuleSoft or Talend

•Assist the teams to improve the data quality and efficiency in both source and target systems.
Your profile:

•Computer Science or any equivalent IT degree.

•Good knowledge and experience in data analysation and transformation.

•Excellent SQL query skills and experience in delivering the summarised data.

•Ability to understand the business requirement and transform the requirement into the data output.

•Good understanding of ETL concept and experience in developing ETL functions.

•Good Interpersonal communication skills.

•Minimum 3 years of experience as a Data Engineer/Analyst or similar role.

Your optional superhero skills:
•Hands-on experience in tools such as MuleSoft or Talend. •Experience in multiple database systems or platforms. •Experience in the cloud computing. •Work in software development of an agile environment