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 requirementsRequirements- 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, GitlabBenefits- International career opportunities- Dealing with top-tier music industry professionals - Working on the interface of latest ML development- Creative leeway for your ideas & their implementationJoin 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!
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.