Responsibilities
- Data formatting, preparation, and ETL - ensuring everything we build that is useful is located in our data warehouse and in our BI tools
- Implementing production from Python algorithms, crawlers, and data extractors from experimental Jupyter notebook
- Partnering with frontend and backend engineers to include our algorithms within our apps, i.e. Driver app (demand forecasting, predictive maintenance, etc.) and User app (demand pricing, targeted marketing, etc.)
- Creating, extracting and scraping new data sets from our existing data sources as well as from commuter data via GSM, public transport data, high frequency shops and venues, events, etc.
Requirements
- 3+ years of professional experience as a Data Engineer, with production-level knowledge of Python
- Experience working with upstream online/real-time data sources, i.e. AWS, VPS, RDS, Kinesis, S3, Glue, Spark/Fink, Kafka, Airflow
- Implementation experience in data pipelining using either AWS Serverless or Apache stack
- Strong knowledge in Data Science, and the ability to understand underlying data and its purpose, as well as the ability to implement algorithms from validated experiments in a Jupyter notebook or similar using Python or Java
- Experience communicating workflows from basic data transformation to complex ETL pipelines to tech and business teams, as well as C-level executives, as well as the ability to defend your architecture choices to peers and industry experts
- You work well in a team. You comfortably collaborate with designers, developers, and other team members to clarify requirements, implement solutions, and ensure all requirements are met
Nice to have:
- Enthusiasm for e-scooters and making our cities more liveable
- Experience working in the mobility sector
What We Offer
- The opportunity to revolutionize urban mobility and change cities for all of us
- Professional and personal growth building one of the fastest growing startups of 2019 with a very experienced team of entrepreneurs
- A rapid environment where autonomy, fast decision making and learning by trying is key
- Working together in a team of the best in their fields from top companies around the world
Ready to undertake your next big thing?
Awesome! We look forward to talking with you.
Your application and personal data will be collected by LMTS Germany GmbH.
Link: https://boards.greenhouse.io/flash