Data Engineer (m/f/d)
Plzeň, CZ, 30100
Become part of a great team building an innovative digital product with a lot of purpose. Use latest technologies during your workday, bring in your knowledge and expertise, try out new things to help ZF staying in the lead. Work in a global team with its main development location in Plzen.
Tasks:
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Build and maintain data systems and pipelines for ZF Bus Connect
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Conduct complex data analysis and report on results, interpret trends and patterns, build data-related algorithms and prototypes
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Design and optimize infrastructure for efficiency and scalability, improve data quality, implement/automise data-quality control
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Follow agile development methodologies & lean principles to contribute to our high-quality product development practice and its constant improvement
Required skills:
- Computer Science degree or equivalent, min. 3 years of experience in a similar role
- Technical expertise with data models, databases, data mining, and segmentation techniques, focus on time series analysis, featurization, statistics
- Knowledge of programming languages (python, C#)
- Experience with database optimization – partitioning, indexing, query plans
- Experience with API technologies as well as with Microsoft Azure a plus
- Strong analytical skills, ability to combine data from different sources
- Passion for insightful digital services and for good code as well as fluent communication skills in English.
We offer:
- Above standard, modern working environment - new offices in the center of Pilsen
- Modern technologies, team of professionals and experts
- Background of a stable international corporation with a strong company culture
- Remote work possibility
- Annual bonus
- 26 vacation days
- HO contribution
- Meal voucher contribution
- Training and development
- Language courses within working time
- Teambuildings
Be part of our ZF team as Data Engineer (m/f/d) and apply now!
Contact
Igor Culek
(+420) 727 884 604
Job Segment:
R&D Engineer, Data Mining, Computer Science, Engineer, QC, Engineering, Technology, Quality