Python Data Engineer

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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

- 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!

Legitary is an award-winning music-tech startup powering the monetization of music IP. With our patented AI tools we revolutionize streaming auditing & music IP valuation for music labels, publishers, artists and M&A companies.

Join our mission to bring fairness & transparency to the world of music streaming, leveraging the power of advanced AI technology.