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Audi­ble GmbH

Audi­ble GmbH, an Ama­zon com­pany, is the lea­ding pro­vi­der of pre­mium digi­tal spo­ken audio infor­ma­tion and enter­tain­ment on the inter­net, offe­ring cust­o­m­ers a new way to enhance and enrich their lives every day. Audi­ble’s con­tent offe­ring com­pri­ses more than 200,000 audio­books and audio plays from 800 publis­hers. Tit­les down­loa­ded from Audi­ble are com­pa­ti­ble with hund­reds of mobile devices, inclu­ding the iPhone and Android smart­pho­nes. Audi­ble is also the pree­mi­nent pro­vi­der of spo­ken-word audio pro­ducts for Apple’s iTu­nes® Store.

Working Stu­dent – Data Engi­neer (m/f)

still va­cant

As a Data Engi­neer, you will be a mem­ber of an inter­di­sci­pli­nary rese­arch team of Data Sci­en­tists res­pon­si­ble for mode­ling in many busi­ness areas, inclu­ding but not limi­ted to Cust­o­mer: seg­men­ta­tion, care, acqui­si­tion, reten­tion, enga­ge­ment, pro­pen­sity, and value; Pro­duct: simu­la­tion, tes­ting, and eva­lua­tion; Con­tent: acqui­si­tion, pri­cing, valua­tion, and recom­men­da­tion.

You have a pas­sion for Big Data and its sup­porting tech­no­lo­gies and plat­form com­po­n­ents. You will be an enabler for cut­ting edge mode­ling efforts, pas­sio­nate about acces­sing, moving, and pro­ces­sing tera­bytes of data in a per­for­mant, scalable, fault-tole­rant way, and will dis­play your strong pro­blem-sol­ving ability under dif­fe­rent set­tings (e.g. deve­lop­ment, test, pro­duc­tion, …)

You will be able to thrive in the power­ful, advan­ced envi­ron­ment that makes Ama­zon such a uni­que com­pany in the area of data-pro­ces­sing tech­no­logy, and will be offe­red a per­fect mix of res­pon­si­bi­lity and men­to­ring, as well as ideal, fle­xi­ble con­di­ti­ons to con­ti­nue to study. You will also – if you wish - get expo­sure to mode­ling tasks fur­ther down­stream of the Data Sci­ence value crea­tion pro­cess.

Work­ing field:

  • Pull large data sets from Ora­cle and Reds­hift data­base for ad-hoc ana­ly­sis using SQL
  • Pro­cess huge data sets using Spark, MapRe­duce, and Ama­zon Web Ser­vices
  • Reco­gnize pat­terns in the data and dig deep into ano­ma­lies

Require­ments:

Basic Qua­li­fi­ca­ti­ons:
  • You are pro­fi­ci­ent in at least one of Java, Scala or Python
  • You are pro­fi­ci­ent in Linux and shell scrip­t­ing
  • You are flu­ent in Eng­lish, both writ­ten and spo­ken skills
  • You have a pas­sion for big data and are curious to always dig deep into data to unco­ver pat­terns
  • Self-dri­ven and moti­va­ted to learn and explore
  • You must be enrol­led in a first degree study course (1st Bache­lor or 1st Mas­ter) at a Ger­man uni­ver­sity to ful­fill the working stu­dent cri­te­ria.

Pre­fer­red Qua­li­fi­ca­ti­ons:
  • You are pro­fi­ci­ent in SQL / ETL, with hands-on expe­ri­ence in a busi­ness envi­ron­ment
  • You are enrol­led in com­pu­ter sci­ence / engi­nee­ring / mathe­ma­tics / sta­ti­s­tics or simi­lar uni­ver­sity pro­grams and have at least one year of your stu­dies left

What we of­fer:

  • This is a stu­dent posi­tion for 18-20h weekly
  • 12,-€ per hour
  • Valuable insights into an inter­na­tio­nal renow­ned and gro­wing com­pany
  • Inter­na­tio­nal work envi­ron­ment in a beau­ti­ful Ber­lin office; loca­ted right near the Spree in Mitte

How to ap­ply:

Sounds inte­res­ting? If you are loo­king for a new chal­lenge in an inno­va­tive com­pany, where you will have the oppor­tu­nity to shape and influ­ence the busi­ness with the results of your work, where you will be sur­roun­ded by an enga­ged and fun team, Audi­ble is your next stop! Do not hesi­tate to send us your app­li­ca­tion with all details toge­ther with your cover let­ter. Please click the atta­ched URL in "Exter­ner Link" to use our app­li­ca­tion tool.

If you have any ques­ti­ons regar­ding the posi­tion or the app­li­ca­tion pro­cess, feel free to approach us at jobs@audible.de.