ABOUT THE TEAM DEPARTMENT: Consulting Consumer Insights REPORTS TO: Team lead Brand Consulting TEAM SIZE: >10 RECRUITER NAME: Simona, simona.cerneckyte@zalando.de The Insights – Digital Data Analyst role provides data-driven value to both our brand partners as well as internally by being the go-to person for the Analytics team as well as the consultants when it comes to transactional and onsite data analysis. This is an opportunity to be part of the forefront team to shape a new business venture and to personally grow with it.

DEIN JOB Transformation der Stakeholder-Anforderungen in konkrete Spezifikationen für das Data Warehouse- und BI-SystemEntwicklung und Pflege der Datenerfassung mit Digital Analytics-Lösungen (Google Analytics, Google Tag Manager)Konzeption und Entwicklung von Standards für Analysen, Reports und DashboardsBearbeitung von abteilungsübergreifenden Analyseanfragen und -anforderungenUnterstützung und Schulung der operativen Bereiche im Umgang mit den BI- und Digital Analytics-Anwendungen (u.a. MDX Web Frontend, Saiku, Google Analytics, Google Tag Manager)Vollständige Aufbau eines Tableau basierten BI-Systems DEIN PROFIL

Data Engineer (m/f/o) You are a problem solver (m/f/o), detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives. Area: Business Intelligence Start: April 2019 Location: Hamburg What we are looking for: You are a team player (m/w/o)You have a hands-on mentality and you are into Big Data.You have experience in working with programming languages like Scala, SQL, Python, R, Java.You know Spark, Streaming Libraries, Hadoop Ecosystems (Hive, HDFS, YARN, etc.

These tasks are waiting for you: Be the professional lead for our data team Obtain actionable business-oriented insights from processed IoT data Identify and explore opportunities to apply machine learning algorithms and guide their development from initial testing to their final user-facing application Communicate and collaborate with the digital marketing, business development and product development teams in a high pace environment Processing and aggregation of terabytes of raw near real time/real time IoT data Maintenance, expansion, and optimization of existing data pipelines (ETL/ELT)Qualifications:

Data Engineer (m/f/o) You are a problem solver (m/f/o), detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives. Area: Business Intelligence Start: April 2019 Location: Hamburg What we are looking for: Your are a team player (m/w/o)You are experience in either Scala, Python or JavaYou know Spark, Streaming Libraries (Spark Streaming, Kafka Streams, etc.), Hadoop Ecosystem (Hive, HDFS, YARN, etc.)You have prior experience with RDBMS and NoSQL databases and as a result know which storage type to use for a particular use-cases, how to create a good data model and write efficient SQL for future extractionsHands-on experience with BigQuery would be a great plusYou previously worked with mature CI/CD pipeline and made several production deployments during the dayWhat you will do:

Fashion und Lifestyle, 5.500 Mitarbeiter, 11 Department Stores, 1 E-Shop, 1000 Marken, 20 Restaurants & Confiserien, 15 erstklassige Services und stets ein besonderes Einkaufserlebnis – das ist Breuninger. Aufgaben Das Data Platform Services Team ist verantwortlich für den Betrieb sowie die Weiterentwicklung der Data Platform bei Breuninger. Die Plattform ist die Arbeitsgrundlage analytischer Prozesse, die unternehmensrelevante KPIs erarbeiten und diese in Dashboards abbilden. Außerdem werden Daten für operative Systeme bereitgestellt und regelmäßig neue Datenfeeds (intern wie extern) angebunden, welche die Genauigkeit der Insights verbessern.

We are looking for a passionate and skilled (Senior) Data Engineer / Developer PHP on AWS to join our Marketing Technology Team. The Marketing Technology team enables the online marketing of ABOUT YOU to manage over 30 marketing channels across multiple countries by automating the underlying processes and management of external marketing tools. We constantly monitor the correct setup by maintaining automated checks as well as real-time monitoring solutions. Challenges the Marketing Technology Team will be working on in the next 12 months:

Uns hast du hier nicht erwartet oder? Aber mal ehrlich: Mode und IT sind Welten die man selten miteinander verbindet, aber hier bei Breuninger tun wir genau das! Während wir unsere neue wegweisende E-Commerce Plattform von Grund auf neu entwickeln, arbeiten wir an unserer IOS und Android App, Beacon Technologien, Data Science Projekten und einer Menge mehr! Hast du Interesse daran in einer agilen Umgebung an einer Fülle von zukunftsweisenden Projekten zu arbeiten – Und das mit Kollegen, die auch an deiner Entwicklung interessiert sind?

Head of Data Science & Engineering (m/f) Dresden | full-time We offer Attractive and competitive salary as well as participation in successDevelop and define areas of responsibility directly by implementing your own ideas as well as by taking the lead for independent projectsModern offices with a pool table, foosball and ergonomic office equipment right in the heart of the cities of Dresden and BerlinFlexible working hours, home office when needed and an equilibrium of work and lifeProfessional and personal development through feed­back talks, language classes, MOOC fee re­im­burse­ments (e.

Test Engineer – Big Data (m/f) Dresden | full-time About us The LOVOO GmbH was founded in 2011 and is now part of the listed Meet Group Inc., that owns a growing app portfolio of apps for meeting other people. All the Meet Group’s Dating Apps reach about 15 million people every month, whereas the brand LOVOO follows the mission to break with the unison narrative of the dating industry in communication and product philosophy and to provide a simple and relaxed approach to getting to know people.

We work in a multidisciplinary product team and we build elegant user interfaces using an exciting tech stack of React Native for our iOS & Android apps. We use modern JavaScript across our stack, from our Node.js API to our React Native view layer and React-based internal tools. Our data stack consists of Google cloud-based infrastructure consisting of BigQuery, PostgreSQL and Python based transformations. The role: We are looking for an experienced Data Engineer to join our Data team.