Legitary GmbH is an award-winning AI startup – we offer audit and valuation services to ensure artists and music right holders receive fair and accurate streaming royalties. As a Python Data Engineer at Legitary, you will structure, normalize and analyze large-scale client datasets to generate clear, data-driven insights that help our clients understand and optimize their streaming revenues.
Tasks
- Normalize large data sets (at TB scale \& beyond) of music streaming usage data from heterogenous data sources
- Run data analyses with internal ML apps
- Perform data exploration on large data sets \& be able to generate new insights from the data
- Report insights to clients \& stakeholders
- Design new product features based on customer requirements
Requirements - Degree in mathematics, statistics, informatics or elated fields
- Industry experience (Python \& SQL) with a proven track record of data engineering projects
- Hands-on experience in data wrangling and manipulation
- Strong communication skills for reporting results to technical \& non-technical audiences
- A glimpse into our Tech Stack: Dask, Plotly \& Dash, SQL, BigQuery, Kubernetes, Gitlab
Benefits - International career opportunities
- Dealing with top-tier music industry professionals
- Working on the interface of latest ML development
- Creative leeway for your ideas \& their implementation
Join Legitary as a Python Data Engineer and innovate the music industry with AI. Make an impact in a dynamic startup environment in Vienna. Apply now and transform music streaming!