Im Team “Audience Management & Data Analytics” bei G+J Digital Products erheben, modellieren, analysieren und reporten wir Online Tracking Daten. Mit Kompetenzen in den Bereichen Tracking-Implementierung, Web- & Business Analytics, Datenvisualisierung, Data Engineering und Data Science, entwickeln wir die Daten- und Reportinginfrastruktur weiter und setzen Analysen und Projekte um, die einen hohen positiven Impact auf das digitale Geschäft haben.
Die Position ist für die Weiterentwicklung der Dateninfrastruktur zuständig, mit dem Ziel, weitere strukturierte und unstrukturierte Daten in der analytischen Datenbank zu integrieren und stets für die Stabilität und Effizienz der Datenzugänglichkeit zu sorgen.
Your tasks:
As a Data Science Engineer at Holoplot, you will empower a data driven approach across the full organisation. You will work within agile, cross disciplinary teams for manufacturing, sales, marketing, SCM and hardware development, fundamentally enhancing their work experience with data and insights. You will architect, build and introduce cloud-based infrastructure for collecting, analysing and visualising all data coming out of the various sources for applications. like predictive maintenance/quality, automation, robotics, growth, QA and others.
Wir sind ein Team junger Softwareentwickler und entwickeln Software-Lösungen zu aktuellen Themen wie Industrie 4.0, AI, Big Data und Robotik. Unser Büro liegt in unmittelbarer Nähe zum Englischen Garten. Wir digitalisieren Unternehmen und suchen daher tatkräftige Unterstützung. Was du mit an Skills mitbringst ist uns wichtig, viel wichtiger ist Deine Einstellung und der Wille, Dinge zu verändern und neue Technologien anzunehmen.
Ab sofort suchen wir einen Data Scientist (m/w) für unseren Standort München.
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
ABOUT THE TEAM
Department: Zalon Data
Reports to: Product Owner Zalon Data
Team Size: >10
Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de
Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs.
WHERE YOUR EXPERTISE IS NEEDED
Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport 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 productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR
We are the leading mobile point-of-sale (mPOS) company in Europe. Our vision as a global FinTech company is to build the first-ever global card acceptance brand, and we are well on our way as small businesses in over 31 countries around the world rely on SumUp to get paid. Our boldness, startup mindset, empathy and love for product foster a creative environment for our employees. We value an entrepreneurial spirit and seek to build lasting relationships among our employees.
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
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.
Als Data Warehouse/ ETL-Developer (m/w) bei Senacor wählst du deinen Heimatstandort selbst: Berlin, Bonn, Frankfurt, Hamburg, Leipzig, München, Nürnberg, Stuttgart oder Wien. Nach dem 4-3-1 Prinzip bist du 4 Tage beim Kunden vor Ort, maximal 3 Nächte am Projektstandort und freitags an deinem Heimatstandort.
Deine Aufgaben
Implementierung komplexer Datenintegrationsprozesse auf Basis moderner ETL-Frameworks (Ab Initio, SAS, Informatica, Talend, etc.)
Modellierung von technischen Datenbankmodellen basierend auf unterschiedlichen Modellierungsparadigmen (3NF, Data Vault, Star, …)
ABOUT THE TEAM
Department: Zalon Data
Reports to: Product Owner Zalon Data
Team Size: >10
Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de
Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs.
WHERE YOUR EXPERTISE IS NEEDED
Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport 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 productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR
ABOUT THE TEAM
Department: Zalon Data
Reports to: Product Owner Zalon Data
Team Size: >10
Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de
Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs.
WHERE YOUR EXPERTISE IS NEEDED
Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport 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 productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR
If you are keen to work in a highly innovative space with amazing colleagues, push the envelope and build something from scratch, look no further: We have been recently coined the fastest growing fintech globally, having mediated more than EUR 10bn in a little bit over 3 years. We are building a completely new BI team as part of our growth strategy, in order to harness the value of the vast amount of data our open banking platform produces.
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 customers in 11 European countries. In less than 7 years on the market, we have grown to 220 million Euros in revenues in 2017. More importantly, the opportunity ahead of us is massive.
The Westwing team is the secret to our success. Around 1.
At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. We’re now active and growing in 9 different countries in 3 continents.
Our story started in Berlin.
If you are keen to work in a highly innovative space with amazing colleagues, push the envelope and build something from scratch, look no further: We have been recently coined the fastest growing fintech globally, having mediated more than EUR 8bn in a little bit over 2 years. We are building a completely new BI team as part of our growth strategy, in order to harness the value of the vast amount of data our open banking platform produces.
Time to reboot? We are looking for enthusiastic team players who enjoy taking on responsibility and who take bold and thoughtful decisions. People who jump in at the deep end with passion.
As a Data Warehouse Developer (m/f) you are largely responsible for thecreation of design concepts and data models for the further development of the data warehouse infrastructure. You are also responsible for optimising andsecuring the ongoing operation. Your tasks include the implementation and performance optimisation of ETL flows, qualityassurance and the documentation of developed solutions.
Unser Kunde Syncwork AG ist ein mittelständisches Unternehmen und ein Experte für innovative Business Intelligence- und Data Warehouse-Lösungen. Im Zuge weiteren Wachstums suchen wir für den Standort Zürich oder Berlin einen
(Junior) Business Intelligence- und Data Warehouse-Experten (m/w)
zur Festanstellung in Zürich oder Berlin
Referenznummer: 365996⁄8
Ihre Aufgaben:
Sie beraten die Kunden rund um Data Warehouse/Business Intelligence (DWH/BI)-FragestellungenAufbau technischer und betriebswirtschaftlicher Analysen/Dashboards/ReportingsGestaltung effizienter DWH-Prozesse und funktionierender Prozessketten zur Datenbereitstellung von den Quellsystemen in das DWHAbstimmung über Anforderungen an das Data Warehouse mit anderen Fachbereichen und Stakeholdern inkl.
As part of the strategy for future growth, Deposit Solutions is building out an enterprise Data Warehouse and Analytics System. You will be driving a largely greenfield project with the goal to build a state of the art data warehouse that enables us to capture the value out of the massive amounts of data our Open Banking platform produces. You main responsibilities will be:
Architecting, Planning and Implementation of end-to-end Data Warehouse and Business Intelligence system utilizing best practices from Data Architecture, Data Integration and Data Management areas.
As a member of the department ‘IT to Business Alignment Cross Domain’ you are responsible for the provisioning of specific business intelligence (BI) solutions for SWISS and Lufthansa Group (LHG). You help internal customers to manage their business needs and to make strategic decisions based on solid analysis of their data. In this position you are in charge of the support and change management of our BI applications. In addition, you are responsible for the design of standard reports for SWISS and LHG business and their development within a Tableau Software environment.
As a member of the department ‘IT to Business Alignment Cross Domain’ you are responsible for the provisioning of specific business intelligence (BI) solutions for SWISS and Lufthansa Group (LHG). You help internal customers to manage their business needs and to make strategic decisions based on solid analysis of their data. In this position you are in charge of the support and change management of our BI applications. In addition, you are responsible for the design of standard reports for SWISS and LHG business and their development within a Tableau Software environment.
