... Tendam es una de las principales compañías europeas del sector moda especializada en la gestión de marcas del segmento mass market premium. La compañía cuenta actualmente con cinco marcas: Cortefiel, Pedro...
Tendam es una de las principales compañías europeas del sector moda especializada en la gestión de marcas del segmento mass market premium. La compañía cuenta actualmente con cinco marcas: Cortefiel, Pedro del Hierro, Springfield, Women’secret y la de tiendas outlet Fifty. Cada una de ellas con su propio equipo de diseño, estructura comercial y de gestión. Presente en 90 países y con 2.000 puntos de venta distribuye tanto a través de tiendas propias, comercio electrónico y franquicias. Tendam, empresa comprometida con la igualdad de oportunidades
We are growing our data science team to help Tendam solve challenging problems from the retail fashion industry. We are now seeking a Data Engineer Intern for a unique opportunity of impacting the way the world experiences fashion.
What will you do?
1. Creating and maintaining AWS infrastructure for building machine learning models
2. Develop, construct, test and maintain architectures
3. Data warehousing, data ingestion and integration
4. Decompose data problems and conduct analysis and evaluations
What are we looking for?
1. Coding proficiency in Python and SQL
2. Expertise working with cloud (preferably AWS)
3. Working on large scale data transformation using Spark (preferably PySpark), SQL, Hadoop or other Big Data technologies.
4. Logical thinker with a pro-active attitude, problem solving skills and demonstrable experience working with structured and unstructured datasets.
Why coming to Tendam?
1. One of the largest customer data repositories in industry: more than 20M Club members
2. Working and integrating multiple different data sources: purchases, marketing campaigns, products, web navigation, apps, etc
3. Shaping the architecture direction in the Data Science team
4. Working closely with data scientists to enable the creation of big scale machine learning models
5. Working with cutting edge technologies
6. Productionazing models having a real impact in the business
7. Exposure to agile methodologies
8. Working in a challenging and dynamic industry
Ubicación de la Beca: oficinas centrales de Madrid (zona norte, accesible en metro, cercanías y autobuses urbanos).
Incorporación: en el mes de Septiembre.
Duración: 6 + 6 meses
Horario: de lunes a jueves de 9h a 17:30h y viernes de 9h a 14h.
Remuneración (ayuda económica) de 600€ brutos al mes.
1. Coding proficiency in Python and SQL
2. Expertise working with cloud (preferably AWS)
3. Working on large scale data transformation using Spark (preferably PySpark), SQL, Hadoop or other Big Data technologies.
4. Logical thinker with a pro-active attitude, problem solving skills and demonstrable experience working with structured and unstructured datasets.
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