Blinkist offers the best selection of nonfiction knowledge, all in an app that makes it easy to fit learning into your life. Through audio and text explainers called Blinks, original podcasts and author-driven content, Blinkist is on a mission to help people turn ordinary moments into extraordinary learning opportunities—anytime, anywhere. Blinkist was created in 2012 right in the heart of Berlin. We’ve been selected as one of the Top 25 Startups in Germany by LinkedIn, and are amongst Berlin’s top 3 employers based on Glassdoor and Kununu ratings.

Join us as a Data Engineer (m/f/d) in our cross-functional data insights team MOIA is an innovative mobility company that will change people’s lives by re-imagining urban mobility. MOIA will create services that enable more people to move more freely and securely, ultimately making cities better places to live. We will free up the movement of people and goods within cities whilst making mobility accessible to everyone. That means we will:

Your role You will be responsible to develop and implement a vision for our Data Science team and be the strategic and operational leader for the development of a growing team. You collaborate on an iterative design process and lead the data scientists in all the related topics. You will develop meaningful data models using Python and data mining/ML methods. You also concept, implement analytical models including creative designs for visualizing large amount of data/data sets.

Your area of responsibility will focus entirely on Big Data and Analytics platforms:  Selection of technologies for the implementation of Data Analytics Use CasesFurther development and evolution of data pipelines on cluster architecturesVisualization of data for various application purposesAssessment of data quality and possible data cleansingOperationalization of models and results for use or automation.We start the Data Journey of our customers. You think your CV Journey fits to our needs? Find out: Completed degree in computer science, data science or equivalentAt least two years of professional experience as software engineer, software developer, data engineer or similarVery good knowledge of the programming language Scala or JavaProfound knowledge and experience in dealing with Hadoop ecosystemsVery good written and spoken German skillsAt least 50 % willingness to travelData is moving us!

Join finn to make mobility fun & sustainable.  Play a key role to fulfill our mission to build the most popular mobility provider in the world. We launched, in 2019 offering an all-inclusive car-subscription in Europe. Objectives At finn we create software that will manage thousands of vehicles and customers on a daily basis. You have the chance to join this team early on and work independently on our product. If your coding skills are known around the globe, and you love to contribute your ideas and engineering skills to a growing company in the heart of Munich then apply now.

WELCOME TO VATTENFALL BA Markets is now looking for the right person to fill the position as Senior Data Engineer (f/m/d) Your job as a Senior Data Engineer (f/m/d): You will be the main Data Engineer in our central analysis department with responsibilities involving hands on data gathering, conceptual data-architecture development and knowledge sharing of data-related requirements. In this role you will be deeply involved in applying Machine Learning on energy market use-cases, a task requiring strong cooperation with colleagues from Analysis, IT and Front Office.

Our Head of Data says: “Data is one of the hubs between Online Marketing, Product, IT and Sales here at Bonial.com. New questions are raised every day that cover all facets of business intelligence, such as developing a prediction model for user retention, defining KPIs and events for an A/B test, integrating a new data source in our enterprise data architecture or supporting critical business decisions by translating business problems into quantitative terms.

About the Demand Prediction Team In virtually every part of our products we rely on using data to invent and improve. You will work in a highly skilled cross functional team of Data Engineers, Data Analysts, and Data Scientists responsible for turning data into knowledge needed for our success. Your team estimates on future demand and enables the teams around shift planning, pricing, fleet supply, routing and others to make MOIA successful.

Our team lead says: Data is one of the hubs between Online Marketing, Product, IT and Sales here at Bonial.com. New questions are raised every day that require good data sources and deep data processing to support critical business decisions and provide answers to different problems. Data collection enables us to create strong strategies, stay on top of trends, build better relationships with customers and users, and analyze new insights to great effect.

emetriq ist ein Anbieter für datengetriebene Online-Advertising-Lösungen und Teil der Deutschen Telekom AG. Wir bieten unseren Kunden innovative Lösungen auf Basis von komplett inhouse entwickelter, geballter Daten- und Technologie-kompetenz. Kurz gesagt: Wir sorgen dafür, dass Online-Werbung relevanter und präziser wird.  Wie Du uns helfen kannst: Du hilfst uns, in den Bereichen Machine Learning, Data Mining und Natural Language Processing nicht nur up-to-date zu sein, sondern auch vorauszudenken.Du bewegst Dich in unserem stetig wachsenden Datenpool und nutzt dabei Tools wie Jupyter, SQL und Python, um reproduzierbare, aussagekräftige Analysen zu erstellen und Reports aufzubereiten.

You’ll join the Performance Measurement 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 activities. Find out how we do this here.Support our data scientists by preparing features for their models to let them focus on data science instead of data preparation and get insights into their work on our machine learning platform including AWS SageMakerCollaborate with our product managers on defining roadmaps and ideas to further develop our products.

Unser Kunde ist ein erfolgreicher internationaler Anbieter von Bank- und Finanzdienstleistungen. Arbeitsort Zürich Arbeitsbeginn Per sofort Motivation Sie sind eine kommunikative Persönlichkeit mit analytischem Denken und einigen Jahren Erfahrung rund um Business-Intelligence? Dann ist diese Position genau das Richtige für Sie! Es erwartet Sie eine interessante temporäre Anstellung mit enger Zusammenarbeit mit allen Projektbeteiligten (Projektleitung, BI-Team, Offshore-Entwicklungsteam, IT, etc.) Ausbildung Informatiker Erfahrungen Sie konnten bereits mehr als fünf Jahre Berufserfahrung in der Implementierung von Business Intelligence Lösungen einschließlich der Analyse von Geschäftsanforderungen, Design & Datenmodellierung, Entwicklung von Berichten sammeln.

Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou! We are looking for adventurers to join our smart and inspiring team! TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. And it’s our data engineers that make this happen!

What you will do:To further drive our growth, we are looking for a creative and committed Full-Stack Engineer with a distinct sense for Big Data Applications. You love to pair with other developers, and you take proud in delivering high quality software. In this position, you will support our Data Processing Team in creating data intensive real-time applications: You accompany the full development lifecycle from specification to release and maintenanceWith passion and creativity, you develop high performing data processing applicationsYou think from the customers’ perspective and challenge APIs and system architectureThe assets you bring to the team:Your ability to learn fast and adapt quickly in an agile environment complement your technical expertiseProficiency in Java & Javascript and Spring Boot and experience in Scala and PlayPractical experience in Scrum or Kanban and DevOps mindsetJenkins, Jira, Bash and Git is where you’re generally fitWe offer:Prospect: We are a continuously growing team with experts in the most future-oriented fields of customer intelligence.

Within Zalando’s Digital Foundation unit you are going to work in the core of Zalando’s data infrastructure. Your work will focus on the implementation of the data transformation architecture that is going to become the backbone of the analytical data platform at Zalando. WHERE YOUR EXPERTISE IS NEEDED Work within Zalando’s central data team that is responsible for mission-critical services for the whole Zalando groupDesign and build the service that will serve analysts, data engineers and machine learning pipelines all over ZalandoBuild the Zalando Spark platformHelp migrate the existing data pipelines to the next levelWHAT WE’RE LOOKING FOR 

What you will do:To further our growth, we’re looking for a Java Software Developer in our data science team, you will be responsible for the design, implementation and automation of new algorithms for predictive analytics and recommender systems for Mapp Intelligence which is designed to process more than 350 TB raw data and up to 60k requests/sec. Understand and expand a thrilling tech stack for fully automated marketingBuild business applications in our Spring Boot microservice landscapeEnable our customers to get the most of their data by developing data science productsBe responsible for the continuous optimization of our development infrastructureApply continouos integration / continouos delivery PrinciplesThe assets you bring to the team:Bachelor or Master’s Degree in Informatics, business informatics or similarMultiple years of professional experience in Java language and Spring ecosystem (ideally reactive)Knowledge of Software Engineering Principles, DDD and Clean CodeExperience in DevOps Tools (like Jenkins, Ansible, Vagrant, Docker)Independent, committed, pragmatic, customer focussed, but also a good team playerFluent in English, German a plusWe offer:Prospect: We are a continuously growing team with experts in the most future-oriented fields of customer intelligence.

1plusX’s mission is to place marketing messages where they have the most impact. We think pinpointed targeting is the key to online marketing success. That’s why we designed a platform to create data insights in order to make online business measurably more successful. 1plusX software ingests data and learns from it in order to make predictions on how customers and future customers behave online.  We are looking for outstanding people! Are you an ambitious and energetic team player?

Job-ID: TP-S45-2502 Absolventen — Vollzeit Ludwigsburg Das bewegt Sie: Die Digitalisierung ermöglicht es uns Prozesse, die früher in immer gleichen Arbeitsschritten ausgeführt werden mussten, vollständig zu automatisieren. Das entlastet nicht nur, sondern ermöglicht auch sich neue Technologien anzueignen und spannenden Projekten zu widmen. Denn wer erledigt schon gerne Routinearbeiten? Da sich auf den ersten Blick nicht jede Aufgabe von einem Computer bewältigen lässt, sind kreative Köpfe mit Forschergeist gefragt. Zu Ihrer Aufgabe zählt es in Absprache mit dem Team Automatisierungspotentiale zu identifizieren und in Software zu überführen.

Application Manager: Master Data Management (80 - 100%)Job InformationLGT Capital Partners is a leading alternative investment specialist with USD 60 billion in assets under management and more than 550 institutional clients in 37 countries. An international team of over 500 professionals is responsible for managing a wide range of investment programs focusing on private markets, liquid alternatives and multi-asset class solutions. Headquartered in Pfaeffikon (SZ), Switzerland, the firm has offices in New York, Dublin, London, Paris, Vaduz, Dubai, Beijing, Hong Kong, Tokyo and Sydney.

Your tasks: Conception and development of Big Data / Analytics platformsSelection of suitable technologies for the implementation of Data Analytics Use CasesDevelopment, execution and scaling of data pipelines on cluster architecturesDesign and implementation of data modelsDeliver data to appropriate storage technologies for a variety of applications, including interactive dashboards and statistical analysis.Assessment of data quality and implementation of transformations for data cleansingSupport of the Data Science Team in the development of statistical modelsOperationalization of models and results of the Data Scientists in order to make them available for productive use or to automate them.