Description We are looking for software engineers to build a next generation data system estate for the aggregation and delivery of financial data. This is a challenging and exciting role that is critical to the strategic success of Move Digital AG. Successful applicants will enjoy a very high level of management visibility and recognition for their successes. In depth knowledge of financial market data and schema design is not required, only a curiosity and drive to learn.

Bauchgefühl ist gut - datenbasierte Entscheidungen sind besser! Du siehst Dich als absoluter Zahlenexperte und liebst es, datenbasierte Entscheidungen herbeizuführen und vorzubereiten. Deine Mission: Die Qualität medizinischer Entscheidungen für Patienten, Ärzte und unsere Pharma-Kunden maximal zu verbessern, indem Du Plattform-KPIs bestens analysiert, Optimierungspotenzial erkennst und diese gemeinsam mit unseren Produkt- und Projekts-Teams umsetzt. Deine Challenge Du analysierst das Nutzerverhalten unserer Ärzte auf Deutschlands größter Ärzte-Community und hast alle relevanten KPIs und Kanäle im Blick.

Arbeiten Sie mit an einer Zukunft, die bewegt. Für unsere Division Currency Management Solutions suchen wir Sie als Big Data Engineer (m/w/d) Ihre Aufgaben:Sie sind verantwortlich für Design, Implementierung und Betrieb von effektiven Data Processing Architekturen innerhalb unserer innovativen Microservices- und Cloud-basierten Data Analytics, IIoT und DigitallösungenIngestion, Integration, Organization, Batch und Stream Processing, Lifecycle Management der DatenSichern der Qualität, Integrität und Privacy der DatenSetup, Monitoring und Tuning der Hadoop Cluster und Datenbanken, you build it you run itEnge Zusammenarbeit in agilen Teams mit Data Scientists, Entwicklungsteams und Product Ownern in der Datenmodellierung, Datenanalyse und TechnologieberatungIhr Profil:Studium (Master, FH / Uni) der Informatik oder einer vergleichbaren FachrichtungSehr gute Kenntnisse mit Data Ingestion / Integration (Flume, Sqoop, Nify) Data Storage (PostgreSQL, MongoDB), Distributed Storage (Hadoop, Cloudera), Messaging (Kafka, MQTT), Data Processing (Spark, Scala), Scheduling (Oozie, Pig)Praktische Erfahrung in der Entwicklung und Betrieb von large-scale Data Processing Pipelines in skalierbaren Microservice / REST ArchitekturenErfahrung in Cloud-Umgebungen wie Microsoft Azure oder AWS wünschenswertSehr gute Deutsch- und Englischkenntnisse in Wort und SchriftWir freuen uns auf Ihre Online-Bewerbung unter www.

Who we are We create software that puts users in control over their online browsing experience. Our products, such as Adblock Plus, Adblock Browser and Flattr, help sustain and grow a fair, open web because they give users control while providing user-friendly monetization. Our most popular product, Adblock Plus (ABP), is currently used on over 100 million devices. Our multi-cultural team wants to change the Internet for the better, and you can become an important part of it.

Tamedia is the leading private media group in Switzerland. The digital platforms, daily and weekly newspapers and magazines of Tamedia offer overview, classification and selection. The company was founded in 1893 and employs a staff of approximately 3,400 in Switzerland, Austria, Denmark, France, Germany, Israel, Luxembourg and Serbia. It has been traded at the Swiss stock exchange since 2000. Launched in 2010, tutti.ch is an online classifieds site for buying and selling.

Your role: Design, build, test and package components to ingest, transform and store large volumes of streaming data that are composable into reliable data pipelinesConduct requirements engineering and map requests to a suitable data architectureOrchestrate and instrument data pipelines so they are scalable and maintainableMaintain exiting code base and take care of automated building, packaging and deployingEvaluate and benchmark technology options. Run PoCs and estimate operations cost.Align with Backend Engineers, define requirements and request optimizationsYour profile:

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.

About your new job: As a Data Engineer in our Business Processes & Intelligence team you will work on all parts of the engine driving the operations and data analytics within Allthings, particularly the data flows in and out of our core database. Your understanding of our product data structure will make you the go to person for our data scientists and user engagement specialists, and together you will engineer brilliant solutions that bring the company forward.

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.

Gestalten Sie gemeinsam mit uns die digitale Zukunft und sorgen Sie dafür, dass Innovationen sicher sind! TÜV SÜD begleitet mit weltweit 24.000 klugen Köpfen seit 150 Jahren High-Tech-Entwicklungen und Innovationen: vom Dampfkessel bis zum autonomen Fahren. Mit Ihrem Expertenwissen stärken Sie TÜV SÜD in der Weiterentwicklung bestehender und neuer Geschäftsfelder. Wir freuen uns auf Ihre Bewerbung am Standort München als Data Engineer (w/m/d) im Bereich Data Analytics AufgabenKonzeption und Umsetzung (Rapid Prototyping) skalierbarer Architekturen für State-of-the-Art Big Data-AnwendungsfälleUmsetzung komplexer ETL-/ELT-Prozesse auf Basis aktueller Big Data-TechnologienAustausch mit Projektteams interner und externer Kunden zur AnforderungsanalyseUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists sowie Data ArchitectsPerformance-Optimierungen und Skalierbarkeitsanalysen für Analytics Use Cases nahe der Echtzeit und im BatchDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusVerantwortung für Konfiguration, Management und Betrieb der Rapid Prototyping-Umgebungen, einschließlich der Datenbank- und Storage-UmgebungenVerfolgung von Trends im Analytics- und Big Data-Umfeld sowie Mitwirkung bei strategischen Initiativen des TÜV SÜDQualifikation

Delivery Hero is building the next generation global online food-delivery platform.   We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.   If you’re an enthusiastic, innovative problem solver, hungry for a new adventure, an exciting job and an international workplace is waiting for you in the heart of Berlin!

WHO WE ARE: We are internetstores – the leading specialist for bike and outdoor products in Europe. Founded in 2003, we are today among the biggest and most profitable e-commerce companies, with more than 40 online shops, more than 2 million page views per day and an unparalleled product selection. We are fahrrad.de, Bikester, Brügelmann, CAMPZ and Addnature and we have only one goal: offering our clients from 16 different countries every day quality products and latest trends for the best prices as well as an excellent shopping experience!

ABOUT THE TEAM Department: Retail Operations – Team Sizing & In-season Algorithms Reports to: Engineering Lead Team Size: <10 Recruiter Name, E-mail: Rebecca Werner, rebecca.werner@zalando.de As a Data Backend Engineer in the Team Sizing & In-season Algorithms, you’ll build data-driven products that help Zalando to place the right orders for the right articles at the beginning of each buying season. Systems you’ll build provide recommendations for quantities and sizes of each new article. WHERE YOUR EXPERTISE IS NEEDED

Your role: Design, build, test and package components to ingest, transform and store large volumes of streaming data that are composable into reliable data pipelinesConduct requirements engineering and map requests to a suitable data architectureOrchestrate and instrument data pipelines so they are scalable and maintainableMaintain exiting code base and take care of automated building, packaging and deployingEvaluate and benchmark technology options. Run PoCs and estimate operations cost.Align with Backend Engineers, define requirements and request optimizationsYour profile:

Your job Become a domain expert of our customer databasesRun ad-hoc analysis to detect inconsistencies and anomaliesWork on jupyter notebooks to answer business queries over a very large datasetProvide easy access to data for other team membersWork closely with software development teams to build future analytics applicationsYour profile Solid skills in SQLExperience with Postgres and/or other SQL-based databasesUnderstanding of noSQL databasesSoftware development skills in PythonKnowledge of software development processes is a plusGood conceptual understanding of data structuresEnjoying working and communicating in a teamExperience working with git version control is a plusStrong technical and problem-solving skillsSolid understanding of ExcelSolid English skillsOptional skills and experience

About your new job: As a Data Engineer in our Business Processes & Intelligence team you will work on all parts of the engine driving the operations and data analytics within Allthings, particularly the data flows in and out of our core database. Your understanding of our product data structure will make you the go to person for our data scientists and user engagement specialists, and together you will engineer brilliant solutions that bring the company forward.

WHO WE ARE: We are internetstores – the leading specialist for bike and outdoor products in Europe. Founded in 2003, we are today among the biggest and most profitable e-commerce companies, with more than 40 online shops, more than 2 million page views per day and an unparalleled product selection. We are fahrrad.de, Bikester, Brügelmann, CAMPZ and Addnature and we have only one goal: offering our clients from 16 different countries every day quality products and latest trends for the best prices as well as an excellent shopping experience!

Interested in solving some tough technical challenges? Join Adspert, a profitable, international and rapidly evolving software company based in Berlin-Mitte. Our software platform uses AI and machine learning to automate media buying decisions and reach unparalleled advertising performance across Google, Bing, Amazon and programmatic display platforms. We are looking for a highly motivated and experienced Statistics/Optimization Developer who would be responsible for: Building statistical models for different effects in the online advertising market.Implementing robust estimates that provide plausible results even in difficult cases.

Our Business Intelligence team generates facts that drive decisions at Freeletics. As a Data Engineer you work closely with our BI team to discover new data sources and integrate new information into our established cloud-based data warehouse. You love to dive through data? You like to puzzle? Apply now! Your responsibilities Design, build and maintain all aspects from how data is collected and processed to data reporting and analyticsImport data from various external and internal sources , including big data platforms or non-relational databasesDevelop ETL processes and database structuresWork together with analysts, data scientists and other stakeholders across teams to fulfil their data needsYour profile

Doodle is the world’s favorite online scheduling tool with more than 25 million monthly users around the globe. People use Doodle to plan everything from dinners with friends and family to business meetings. We are a fast-growing team of 40 passionate engineers, designers, product managers and salespeople spread out in Belgrade, Berlin, Tel Aviv and Zurich. You’ll be joining our newly formed Data team based in our Zurich office. You and your team will lay the foundation for our data infrastructure that helps Engineers, Data Scientists and Product Managers to develop personalized doodle experiences and further accelerate growth.