Web Analytics (m/f) - Sixt - Munich - Wizbii

Web Analytics (m/f)

  • Durch Sixt
  • Munich (Deutschland)
  • Informationssysteme
2018-08-09T08:53:16+0000

Job description

For our Digital Analytics team we are currently looking for a Data Engineer (m/f) in Munich who enjoys designing and operating the Analytical Data Warehouse and wants to bring analytical insights to life by integrating them into a modern microservices infrastructure. Our goal is to make the most of the digital data – we are working on personalizing the user experience on our websites and apps, marketing segmentation and automation, recommendation algorithms and pricing.

Feel good:

In addition to the obligatory kicker, ping-pong table, driving simulators and project rooms, you will find coffee corners to try out and discuss constructive ideas. Our offices have different sizes, you will definitely find something according to your preferences. We follow no dresscode. As a member of the Sixt-Family you get attractive car rental and leasing offers as well as access to our large employee benefit portal where you find attractive offers for travelling, shopping and more. During breakfast, lunch and dinner our high-quality restaurant offers daily changing meat, fish and vegetarian dishes, as well as a salad bar and freshly-baked pizza. Our coffee lounge for meeting and relaxing is opened the whole day. Come as you are, and do what you love: Join our Online Department now!

Do what you love:



You design and operate the Analytical Data Warehouse.

You build batch and streaming pipelines.

You integrate analytical insights into a modern microservices infrastructure for A/B testing and production purposes.

You implement processes for continuous monitoring of the data pipelines.

You collaborate with business oriented teams, developers and Data Scientists.

Seeked profile



Come as you are:



You have experience in Software/Data Engineering, including working knowledge of Python.

You have experience with SQL, relational and NOSQL databases.

You have experience with Big Data technologies (e. g. Hadoop, Spark, Kafka).

Ideally you have experience with Cloud Big Data technologies (e. g. Google BigQuery, Google DataFlow, Amazon Kinesis) and experience in building cloud-native applications.

Ideally you have an understanding of statistical and machine learning concepts.

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About Sixt

Sixt est le loueur de voitures 5* sur le marché, présent dans plus de 100 pays, et géré par la même famille depuis 3 générations. Ce qui nous différencie ? Notre flotte premium et « dernier cri », notre passion pour la satisfaction client et la volonté de toujours proposer des solutions innovantes à nos clients !

445 vacancies open at Sixt

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