Dann freuen wir uns auf Ihre Bewerbung – bevorzugt über unser Online-Portal. AlexA Seniorenresidenz Berlin-Lichtenrade Anna-Lena Lindemann-Kutscher · Tel. (030) 7 40 03-102 Rudolf-Pechel-Straße 32 · 12305 Berlin Impressum | Datenschutzhinweise
AlexA Seniorendienste GmbH Antje Krauter · Tel. (030) 726 2668-39 Rudower Chaussee 12 · 12489 Berlin Impressum | Datenschutzhinweise
AlexA Seniorenresidenz Woltersdorf Residenzleiter Enrico Bartschat · Tel. (03362) 8801-500 Berliner Platz 3 · 15569 Woltersdorf Impressum | Datenschutzhinweise
AlexA Seniorenresidenz Woltersdorf Residenzleiter Enrico Bartschat · Tel. (03362) 8801-500 Berliner Platz 3 · 15569 Woltersdorf Impressum | Datenschutzhinweise
AlexA Seniorenresidenz Woltersdorf Residenzleiter Enrico Bartschat · Tel. (03362) 8801-500 Berliner Platz 3 · 15569 Woltersdorf Impressum | Datenschutzhinweise
AlexA Seniorenresidenz Woltersdorf Residenzleiter Enrico Bartschat · Tel. (03362) 8801-500 Berliner Platz 3 · 15569 Woltersdorf Impressum | Datenschutzhinweise
Dann freuen wir uns auf Ihre Bewerbung – bevorzugt über unser Online-Portal. AlexA Seniorenresidenz Berlin- Lichtenrade Anna-Lena Lindemann-Kutscher · Tel. (030) 740 03-101 Rudolf-Pechel-Straße 32 · 12305 Berlin Impressum | Datenschutzhinweise
Dann freuen wir uns auf Ihre Bewerbung – bevorzugt über unser Online-Portal. AlexA Seniorenresidenz Berlin- Lichtenrade Anna-Lena Lindemann-Kutscher · Tel. (030) 7 40 03-102 Rudolf-Pechel-Straße 32 · 12305 Berlin Impressum | Datenschutzhinweise
AlexA Seniorenresidenz Woltersdorf Residenzleiter Enrico Bartschat · Tel. (03362) 8801-500 Berliner Platz 3 · 15569 Woltersdorf Impressum | Datenschutzhinweise
Dann freuen wir uns auf Ihre Bewerbung – bevorzugt über unser Online-Portal. AlexA Seniorenresidenz Berlin-Lichtenrade Anna-Lena Lindemann-Kutscher · Tel. (030) 7 40 03-102 Rudolf-Pechel-Straße 32 · 12305 Berlin Impressum | Datenschutzhinweise
Unsere Kolleg*innen stammen aus mehr als 82 Ländern und arbeiten in der Zentrale in Hamburg, in Berlin oder an verschiedenen Standorten in ganz Europa. Globale Marken wie Manchester United, Deichmann, Fielmann, s.Oliver, FC Bayern und Marc O’Polo entscheiden sich für SCAYLE, um Innovationen zu beschleunigen und ihr Wachstum zu stärken.
AlexA Seniorendienste GmbH Antje Krauter · Personalmanagement ·Tel. (030) 726 2668-39 Rudower Chaussee 12 · 12489 Berlin Impressum | Datenschutzhinweise
We are currently looking for a skilled Staff App Engineer (m/w/d) with a passion to assume leadership responsibilities to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! The App & Web Team constantly improves the App, Mobile Website and Desktop Website. These big-scale products are each visited by over 11M active users every month.
Lufthansa Lounges, Zalando, Starbucks, Sony Center am Potsdamer Platz, Booking.com, Nivea Haus Berlin, Madame Tussauds, Ritter Sport,Camper (Berlin), ESPRIT, Amerikanische Botschaft, Muji etc. im gesamten Bundesgebiet für nationale und internationale Auftraggeber realisiert.
We are currently looking for a skilled Senior App Engineer (m/w/d) to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! The Shop Applications Team constantly improves the App, Mobile Website and Desktop Website. These big-scale products are each visited by several million people every month.
Lufthansa Lounges, Zalando, Starbucks, Sony Center am Potsdamer Platz, Booking.com, Nivea Haus Berlin, Madame Tussauds, Ritter Sport,Camper (Berlin), ESPRIT, Amerikanische Botschaft, Muji etc. im gesamten Bundesgebiet für nationale und internationale Auftraggeber realisiert.
What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
We are currently looking for a skilled Principal App Engineer (m/w/d) with a passion to assume leadership responsibilities to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! As a Principal position, this role requires a high degree of autonomous working and reports directly to the Director of Engineering.
Lufthansa Lounges, Zalando, Starbucks, Sony Center am Potsdamer Platz, Booking.com, Nivea Haus Berlin, Madame Tussauds, Ritter Sport,Camper (Berlin), ESPRIT, Amerikanische Botschaft, Muji etc. im gesamten Bundesgebiet für nationale und internationale Auftraggeber realisiert.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
We are currently looking for a skilled Teamlead Engineering (m/w/d) with a passion to assume leadership responsibilities to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! The App & Web Team constantly improves the App, Mobile Website and Desktop Website. These big-scale products are each visited by over 11M active users every month.
We are currently looking for a Staff Frontend Engineer (m/w/d) with a passion to assume leadership responsibilities to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! The App & Web Team constantly improves the App, Mobile Website and Desktop Website. These big-scale products are each visited by over 11M active users every month.