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.

About the team:  We are responsible for building the data platform. We are highly focused on simplicity and ease of use by all data-oriented users. We are a strong enabler of our data-strategy: make the right data easily available to everybody for high-quality decisions.  Our tech stack: Scala, Java, everything with Kafka (Streams, Connect, KSQL,…), Akka, Spark, Flink, Docker, K8s, Play, Slick, AWS Services (eg. EMR,S3), NewRelic, JUnit, ScalaTest, ScalaSpec

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

To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board

To support our ambitious growth, we are now looking for Data Engineers (M/F/X) in Munich starting as soon as possible. Your Tasks – Paint the world green You will be responsible for building a data platform for running big data workloads at scale, collecting and combining data from various sources and help our product development teams consume dataYou consult and support the data platform users in creating high performant data-driven analysis or applicationsYou are responsible for establishing a Data Catalogue: registering and documenting ingested, stored and processed data Through your daily work and projects, you contribute to the overall success of the team, product and companyYour Profile – Ready to hop on board

Im Rahmen der Digitalisierungstrategie bei BMW spielt die Analyse von Daten eine zentrale Rolle. Durch entsprechende Analysen und die gewonnenen Erkenntnisse sollen bestehende Produkte/Prozesse optimiert und innovative Geschäftsmodelle ermöglicht werden.  Ihre Aufgaben:  Sie entwickeln analytische Modelle und bauen diese aus. Außerdem definieren Sie Nutzungsszenarien und überzeugen alle Ebenen vom Wertbeitrag.Hierfür nutzen Sie analytische Verfahren/Methoden und Werkzeuge. Sie setzen auf bestehenden Analytics-Umgebungen auf und nutzen verfügbare Statistik & Reportingtools (R, Python, Tableau). Qualifikationen und Erfahrung:

As a Data Engineer you will be working on our large scale analytical databases and the surrounding ingestion pipeline. Your job will involve constant feature development, performance improvements and assure platform stability. The mission of our analytics team is “data driven decisions at your fingertips”. You own and provide the system that all business decisions will be based on. Precision and high quality results are essential in this role. You can expect an international team of Developers who are based in Hamburg.

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:

Um den Erfolg und das weitere Wachstum von STEADFORCE mitzugestalten, sowie die digitale Transformation in Deutschland zu begleiten, suchen wir ab sofort einen Senior Big Data Entwickler (m/w) Dein Aufgabengebiet Du entwickelst anspruchsvolle Anwendungen unter Verwendung von z.B. Hadoop und Spark.Gekonnt integrierst Du verschiedene Datenquellen und -typen.Du bist zuständig für das Design, die Konzeption und Architektur von Informationsplattformen und integrierst Big Data Technologien in existierende Infrastrukturen.Aus großen Datenmengen gewinnst Du Informationen – logische, technische und fachliche Zusammenhänge – und präsentierst anschaulich Deine Ergebnisse.

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.

About the job The Big Data Developer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Developer builds software to pass automated acceptance tests and to deliver sprint commitments. You can expect a very international team of Developers who are based in Hamburg.

What you can expect in this role As Big Data Architect you are responsible for the evolution of our big data platform landscape, based on technologies like Spark and ExasolLeading a team of experts, you will answer the design of our data integration framework (written in Scala) which is used by several teams of developersTaking care of nonfunctional requirements you will contribute to the outstanding end user experience of our solution platformYou will have the creative leeway to explore new possibilities brought about by technology to make the best use of our media data.

To support our ambitious growth, we are now looking for Data Engineers (M/F/X) in Munich starting as soon as possible. Your Tasks – Paint the world green You will be responsible for building a data platform for running big data workloads at scale, collecting and combining data from various sources and help our product development teams consume dataYou consult and support the data platform users in creating high performant data-driven analysis or applicationsYou are responsible for establishing a Data Catalogue: registering and documenting ingested, stored and processed data Through your daily work and projects, you contribute to the overall success of the team, product and companyYour Profile – Ready to hop on board

For KI labs we are looking for data engineers at mid-senior levels of experience (and also working students), to join our rapidly growing data team in Munich as part-time or full-time employees. Your Responsibilities Design, build, and scale data products, and deploy them on public and private clouds, e.g. Amazon AWS, Google Cloud or Microsoft Azure;Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insight where to go;Support Cloud Engineers and Data Scientists with architecting and orchestrating data infrastructures;Support Software Development teams with Data, e.

This is a key role within our Data & Analytics team and gives you the opportunity to build a world-class Data Landscape for Scout24. This is ideal for someone with strong focus on cloud-based data technologies, good service and DataOps orientation, and loves to build data-driven business. You will be involved in working with huge amount of data, cutting-edge technologies and working with some of the most influential and impactful data projects in Germany.

Woran arbeitest du? Weiterentwicklung unseres produktiven Self-Service BI ToolsErstellung von BI Reports für alle Geschäftsbereiche, d.h. Risk Management, Compliance, Customer Support, Marketing und DatenbankmanagementErstellung von KPI Dashboards für die ManagementebeneAd-hoc Visualisierung von GeschäftsdatenOptimale Einbindung unseres Data Lakes bzw. unseres Apache Spark basierten Data Warehouses - Technologieeinsatz, Clustermanagement, Job ScheduleTransformation der performanten Rohdaten in die Business Analysis PerspektiveWer sind wir? Sportwetten-Software Entwickler der ersten Stunde mit 16 Jahren ErfahrungVorreiter im Bereich Sportwetten-Applikationen, die Triebfeder unseres GeschäftserfolgsEin Team von 35 MitarbeiternUnsere Geschäftskunden arbeiten eng und vertrauensvoll mit uns zusammen und wir verantworten das Produktmanagement mitWir betreiben hochskalierbare und performance-kritische Softwaresysteme mit hohem Transaktionsvolumen, genau wie im Logistik-, Finanz- oder TelekommunikationswesenWas bringst du mit?

As an Engineering Lead  team at Zalando Payments you and your team build and operate production grade machine learning systems, focused on supervised learning, which have a profound impact on our business. WHERE YOUR EXPERTISE IS NEEDED Lead others through complex, distributed systems, and understand the principles of highly available, scalable, maintainable and performant servicesEncourage individuals to grow their skills and capabilities through discovering and following their passion and purposeFacilitate collaboration and decision-making between different engineering teams and stakeholders and drive projects towards the realization of company goals.

Your role Data engineers are the central productive force of PriceHubble. As a data engineer, your mission will be to build and maintain our extract-transform-load infrastructure which consumes raw data and transforms it to valuable real estate insights. Your daily challenges will be to mine a wide range and variety of new datasets of all sort, build new datasets, extract and create new features. These features and insights are either directly used as part of our product or as a signal in our machine learning algorithms.

BI Platform team at GoEuro is responsible for maintaining the engineering infrastructure and data platform for business intelligence, reporting and analytics with a vision of making GoEuro a truly data driven organization. We are searching for a Data Engineer with in-depth skills in distributed data processing and big data technologies and experience in writing complex data pipelines that process terabytes of data per day. As a data engineer, you will get the opportunity to shape the future of data-driven decision making at GoEuro by enabling the BI analysts, data scientists, product owners and other stakeholders to draw insights from our data.

To strengthen our international team in Berlin, we are offering a full-time position as     Engineering Manager, Data (m/f) Retailers face unique challenges - we support them with technology-led solutions.  Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Harrods). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.