The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 900,000 customers in 11 countries. In only 8 years on the market, we have grown to more than 254 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.

The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 900,000 customers in 11 countries. In only 7 years on the market, we have grown to more than 220 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.

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:

ABOUT THE TEAM Department: Personalized Marketing Reports to: Data Engineering Lead Team Size: 5-10  Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de You’ll join the Data Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activitiesBuild applications and services to integrate data from internal and external sources, especially to ensure a better cross-device recognition of customers or to increase the tracking data quality, an essential source for our marketing campaign performance measurementClose collaboration with our product managers to define realistic roadmaps and products that will be successful in productionSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionWHAT WE’RE LOOKING FOR

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man. This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed. Would you like to work on a variety of tasks, take over responsibilities and gain strong insights into an E-Commerce company, all of this in a diverse and international team?

The Role: We are looking for a full-time data engineer. You will be at the core of making people’s data work for them. You will design and maintain the ETL data pipeline—from pulling and parsing data from various APIs and downloaded data stores to populating normalized RDBs and calculating cached views (usually in a NoSQL form) to power our various data products and services. While you are not constrained in your tools, our current stack involves Python, js/node, PostgreSQL, Airflow, AWS Lambda and hosting.

ABOUT THE TEAM Department:  Offprice - Finance Reports to: Lead of Finance Technology Team Size: <10 The purpose of the role is to enable Finance Technology teams through the creation and maintenance of a data pipeline to perform data integration at scale. This role will be responsible for the set up of data connections, creation of required airflow workflows and operators, and managing of data between Zalando API’s, Redshift and application databases.

Software Engineer - Big Data Development Hamburg, Germany Full-Time Join our agile, cross-functional development team to push forward our Big Data ambitions, using the Hadoop ecosystem and technologies like MapReduce, Flink, Hive and Kafka. You will design and implement systems in a distributed environment to prepare, provide and analyze huge amounts of data. Your mission: Real- and near-time processing of our more than 1,500,000,000 daily game eventsPreparing very large amounts of data (ETL) as a basis for further processing in other systems (e.

About the job As a Data Engineer at HelloFresh, you will be collaborating to build a robust and highly performant data platform using cutting-edge technologies. You will develop distributed services that process data in batch and real-time with focus on scalability, data quality and business requirements. You will have the opportunity to work on challenging data related problems, like: Design and build a world-class self-service data platformTaking end-to-end responsibility for design, build and maintenance of batch and real-time data pipelines.

For our location in Berlin we are looking for a (Senior) Data Engineer (m/w).  Are you into finding hidden treasures in legacy databases with cloud-based analytical tools? Welcome to the team! Digital strategies and concepts only have value if they are implemented successfully. As a member of our Design & Engineering Team, you validate business and process innovations for our global customers by developing prototypes and MVPs. Together with colleagues from the Boston Consulting Group, you will work in an agile way on frequently changing topics.

Jobs & Karriere Business Intelligence Analyst (m/w) - Job Details Jobs & Karriere Economics / Tech Internship - Job DetailsBusiness Intelligence  Analyst (m/f)  as of now // unlimited // full-time (40h) // Hamburg KEY RESPONSIBILITIES: You extract, analyse and communicate reports and statistics for our business teams and partnersYou transform recurring analyses into KPIs we can easily monitorYou set up the tracking of our ad campaigns, so we all can optimise them daily or even in real-timeYou monitor the user flow from acquisition to monetisation and find new ways to maximise margin thereFrom business bird’s-eye-perspective you simplify processes, making them more transparent on the wayYou automate recurring manual processesMINIMUM QUALIFICATIONS:

Department: Merchant Operations Reports to: Team Lead Strategy Development Team Size: >10 The purpose of the role is to enable Merchant Operations teams through the creation and maintenance of a data pipeline to perform data integration at scale, as well as the maintenance of our historical and near real-time data warehouse. WHERE YOUR EXPERTISE IS NEEDED You are experienced in building, evaluating, maintaining and improving large-scale data-driven productsCreate and maintain a flexible high-performance data processing and integration pipeline at scale, providing high quality datasets for our internal users and applications.

Department: Merchant Operations Reports to: Team Lead Strategy Development Team Size: >10 The purpose of the role is to enable Merchant Operations teams through the creation and maintenance of a data pipeline to perform data integration at scale, as well as the maintenance of our historical and near real-time data warehouse. WHERE YOUR EXPERTISE IS NEEDED You are experienced in building, evaluating, maintaining and improving large-scale data-driven productsCreate and maintain a flexible high-performance data processing and integration pipeline at scale, providing high quality datasets for our internal users and applications.

As Data Engineer in the Merchant Operations team you will build the data warehouse for marketplace and processing big amounts of raw data. You work closely with key stakeholders in product, engineering and operations to form deep understanding of marketplace dynamics WHERE YOUR EXPERTISE IS NEEDED Own, design and organise all data flows from scratchInvolve product and engineering to integrate various sources of dataDevelop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trendsAutomate and own the end-to-end process of modelling and data visualization.

The position Are you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders? A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment.

Wir sind die Orpheus GmbH - ein etablierter Software-Hersteller für Business Intelligence und Künstliche Intelligenz. 2005 gegründet sind wir führend im Bereich Big Data im Einkauf. Mit unseren innovativen Algorithmen und Technologien generieren wir für unsere Kunden einen echten Wettbewerbsvorteil. Wir analysieren jährlich mehrere Milliarden Euro Einkaufsvolumen und zählen renommierte Unternehmen aus DAX, MDAX und der ganzen Welt zu unseren zufriedenen Kunden. Unser Team vereint eine gute Mischung aus Seniorität und Neugierde.

Aufgaben Konzeption und Umsetzung (Rapid Prototyping) von Datenflüssen, -modellen und -schnittstellen im Analytics- sowie im Machine Learning-UmfeldUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists und Data EngineersDefinition, Kommunikation und kontinuierliche Weiterentwicklung interner DatenstandardsErarbeitung sowie Beschreibung von Datenkatalogen und -lebenszyklenDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusEnge Zusammenarbeit mit dem Cyber Security Team bei der Anwendungsfall-basierten Betrachtung von DatensicherungsmaßnahmenVerfolgung von Trends im Analytics- und Data Governance-UmfeldMitwirkung bei Definition der Datenstrategie des TÜV SÜDQualifikation

Robotic Process Automation (RPA) / Automation Process Analyst (ZUR0013R) EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies all over the world. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In doing so, we play a critical role in building a better working world for our people, for our clients and for our communities.

Als Senior Software-Entwickler (m/w/*) mit Schwerpunkt Big-Data-Technologien besetzt du eine Schlüsselposition in unserer Abteilung Data Management & Analytics. Mit deinen Entwickler-Skills entwirfst du PoCs für analytische Plattformen, ETL-Strecken und Datenanbindungen und überführst sie anschließend in den Produktivbetrieb. Deine Linux-Kenntnisse erlauben es dir, die meist Hadoop-basierten Systeme effizient zu nutzen und dank deiner analytischen Motivation weißt du genau, wie du Data Scientists durch effektive Datenaufbereitung unterstützen kannst.  So versetzt du dein Team mit deinem Verständnis von effizienten Analytics-Frameworks in die Lage, performant auf sehr großen Datenmengen zu arbeiten und diese gewinnbringend nutzbar zu machen.

ABOUT THE TEAM Department: Personalized Marketing Reports to: Data Engineering Lead Team Size: 5-10  Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de You’ll join the Data Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activitiesBuild applications and services to integrate data from internal and external sources, especially to ensure a better cross-device recognition of customers or to increase the tracking data quality, an essential source for our marketing campaign performance measurementClose collaboration with our product managers to define realistic roadmaps and products that will be successful in productionSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionWHAT WE’RE LOOKING FOR