Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Data Engineer building and maintaining data systems and pipelines for ZF Bus Connect product. Collaborating in a hybrid work environment for a global automotive supplier.
Responsibilities
- Build and maintain data systems and pipelines for ZF Bus Connect
- Conduct complex data analysis and report on results, interpret trends and patterns, build data-related algorithms and prototypes
- Design and optimize infrastructure for efficiency and scalability, improve data quality, implement/automize data-quality control
- Follow agile development methodologies & lean principles to contribute to our high quality product development practice and its constant improvement
Requirements
- University degree in Computer Science, Software Engineering or similar
- 5 years of proven experience in similar role
- Technical expertise with data models, databases, data mining, and segmentation techniques, focus on time series analysis, featurization, statistics
- Experience with database optimization – partitioning, indexing, query plans
- Knowledge of programming languages (python, C#)
- 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, high quality code
- Experienced in working in agile environments (Scrum)
- Growth mindset combined with curiosity and solution orientation and strong drive to deliver
- Very good communication and collaboration skills
- Fluent in English, other languages are a bonus.
Benefits
- Flexible working hours
- Hybrid mode of work (home office and work on premises)
- Private medical care (Lux Med)
- Life insurance
- Annual bonus
- Mulitisport Card and Cafeteria System
Job title
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