Babbel is driven by a mission: Everyone. Learning. Languages. This means building products that help people connect and communicate across cultures. Babbel, Babbel Travel and Babbel for Business focus on using a new language in the real world, in real situations, with real people. And it works: Studies with Yale University, City University of New York and Michigan State University prove that it gets users talking with confidence.  The key is a blend of humanity and technology.

At Blinkist, we don’t just accept difference — we celebrate it and support it. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We inspire people to keep learning. 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.

AUTO1 Group is Europe’s leading car trading platform which connects the automotive industry through technology. We lead business activities in more than 30 European countries and enable dealers and consumers to trade seamlessly via our brands AUTO1.com, wirkaufendeinauto.de and Autohero. As a Team Lead Data Engineering, you will lead our data platform and teams to maturity and ensure correct, complete and reliable flow of data to internal systems and data consumers.

Who we are: Limehome operates beautifully designed apartment hotels where our customers can feel like home. By following our vision in every step we make, we want to bring one of the oldest industries into the 21st century and revolutionize the hotel industry. That’s why we combine the quality standards of a hotel with the comforts of an apartment. Our suites are in the best locations in each city and are available for short trips as well as long business trips.

We are looking for a Technical Product Manager for Scout24’s Data Platform with a passion for building easy to use data ecosystems to join the Platform Engineeringproduct team.The Scout24 Data Platform provides products, tooling, and guidance to solve the data needs of ourteams, helping them make decisions and build products to serve their customers more effectively. Our AWS big data platform is based on a data lake in S3, ingests with Kinesis Firehose, Presto on EMR, MicroStrategy as BI tool, and uses Alation for our data catalog.

STARTDATUM Ab Sofort STANDORT Die Position ist an den Standorten Berlin, Leipzig, Köln, Frankfurt a.M., Stuttgart oder München zu besetzten! DEINE AUFGABEN Deine Aufgaben als Data Architect bei [at] sind vielfältig! Einen kleinen Überblick findest du hier: Konzeptionierung und Aufbau von Big Data / Analytics PlattformenAuswahl von geeigneten Technologien für die Umsetzung von Data Analytics Use CasesEntwicklung, Ausführung und Skalierung von Daten-Pipelines auf Cluster-ArchitekturenEntwurf und Umsetzung von DatenmodellenBereitstellung von Daten in geeigneten Speichertechnologien für verschiedenste Anwendungszwecke wie interaktive Dashboards und statistische AnalysenBeurteilung der Datenqualität und Durchführung von Transformationen zur DatenbereinigungUnterstützung des Data Science Teams bei der Entwicklung von statistischen ModellenDEIN PROFIL

STARTDATUM Ab Sofort STANDORT Die Position ist an den Standorten Berlin, Leipzig, Köln, Frankfurt a.M., Stuttgart oder München zu besetzten! DEINE AUFGABEN Deine Aufgaben als Data Engineer bei [at] sind vielfältig! Einen kleinen Überblick findest du hier: Entwerfe, entwickle, teste, debugge, automatisiere, dokumentiere und pflege DatenpipelinesWähle die Technologien für die Implementierung von Data Analytics Use CasesEntwickle Datenpipelines auf Basis von Cluster-ArchitekturenVisualisiere Daten für verschiedene ZweckeBewerte die Datenqualität und führe wenn nötig eine Datenbereinigung durchDEIN PROFIL Als Data Engineer bei [at] solltest du folgendes mitbringen:

STARTDATUM Ab Sofort STANDORT Die Position ist an den Standorten Berlin, Leipzig, Köln, Frankfurt a.M., Stuttgart oder München zu besetzten! DEINE AUFGABEN Deine Aufgaben als Senior Data Engineer bei [at] sind vielfältig! Einen kleinen Überblick findest du hier: Entwerfe, entwickle, teste, debugge, automatisiere, dokumentiere und pflege DatenpipelinesWähle die Technologien für die Implementierung von Data Analytics Use CasesEntwickle Datenpipelines auf Basis von Cluster-ArchitekturenVisualisiere Daten für verschiedene ZweckeBewerte die Datenqualität und führe wenn nötig eine Datenbereinigung durchDEIN PROFIL Als Senior Data Engineer bei [at] solltest du folgendes mitbringen:

Data technology in gaming is at the forefront of innovation - we handle billions of data events per month - and you’re here to keep us at that level. By bringing your expertise to the table, you will help us identify software, infrastructure, and architecture to ensure that our Data Platform is always on the bleeding edge. You will work directly with the Data Platform Team and Embedded Data Users to ensure that our data is always available, trustworthy, and useful.

We are looking for a Lead Data Engineer for coordinating our Data team. This opportunity sits within a newly formed team, taking care of all data needs for Delivery Hero’s new verticals. From the first day, you will take responsibility and contribute to the creation of our next-generation platform, that works on expanding our amazing delivery to new products as groceries, pharmaceuticals, flowers and more. Work on warehouse management systems, our shopper app and our customer-facing systems.

To revolutionize the future of transportation, one has to go one step further and set standards today. Smart technologies which are strongly taking over driving tasks and providing improved safety and comfort are already in place in our commercial vehicles today. But our vision is that “We make transportation smart”. So, we need visionary thinkers and creative developers as well as experts in the fields of data engineering, machine learning, artificial intelligence, sensor technology and software development to achieve this vision.

BenefitsWork in a lean, agile and highly motivated teamBesides the default social benefits, we offer a number of additional perksAn attractive workplace in Zurich SeefeldWe offer you computing power to develop your hobby projectsRole and ResponsibilitiesYou work with various datasets from different Ringier companies in different business divisions across publishing and marketplaces and in different regions across continentsYou choose, improve, and apply various methods from statistics, machine and deep learning technologies in order to solve business problemsYou model the data of our users, their interests and online behavior in order to serve the business demands, and enable the future business modelsYou work closely with our data engineering team and other cross-functional teams to develop prototypes for cross-portfolio use cases, and support the deployment of your models or algorithms into the cloud-native production environmentYou communicate and visualize the value of data by describing the findings or the way how techniques work to both technical and non-technical audiencesYou keep following closely research and engineering developments, like TensorFlow, Torch and Amazon Sagemaker, roll in the relevant technologies and methodologies to keep our modern technology landscape up to dateEducation and ExperienceYou have a degree (MS, Ph.

We are looking for a Senior Data Engineer that is passionate about building modern, scalable and well-engineered data infrastructure products to enable product teams at idealo to work autonomously with data. You will be part of a team responsible for developing, running, maintaining the idealo data lake end-to-end. You will contribute to ensuring that this product among other products is successful at idealo. As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting.

–––––––––––– Team: Data Engineering Location: Berlin Contract: 6 month internship with 40 h per week Working hours: Flexible working hours and home office opportunities Apply by: March 27, 2020 –––––––––––– Your Team The Data Engineering circle develops data services and pipelines that drive business insights for product, marketing and our customer relations teams. We design innovative solutions based on intelligent data algorithms using the latest technology stack to enable data-driven decision making in the company.

Please note that due to the current climate with COVID-19, we are not able to accept candidates at the moment. However, we are hoping for the situation to relax soon, so we can restart our recruiting processes.  CARFAX Europe is the leading vehicle history data company within the European market. We are acquiring and processing data related to vehicles from various sources. As a member of the Data Technology Team you will be responsible for building applications around these extensive data sets.

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.

As part of our Business Intelligence Team you will support us in developing and optimizing our pricing algorithm in times of sales campaigns & seasonal price reductions. Every day, millions of people all over Europe enjoy shopping at our online shop & enjoy getting inspiration for brand new styles – even better if there’s a nice sale campaign running!  Our goal is to determine the most intelligent price based on various variables and business models.

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.

What we’re looking for At Smallpdf you will be building a state of the art data pipeline on AWS that handles terabytes of data. Together with the data team you will lay the foundation for our data infrastructure and help our engineering teams to run experiments and create personalized Smallpdf experiences. Your responsibilities: Build a scalable and fast data pipeline that our engineers and pm’s can use in a self-service model to run experiments and make data-informed decisions.

An exciting task awaits you:  As a Data Engineer you will have the chance to become part of a fast-growing team in an early stage. You will improve and extend the current Data Platform in AWS that enables other teams to make data-based decisions based on that. You will also build Data Products in cross-functional teams together with Software Engineers and Data Scientists in order to automate operative processes backed up with intelligent algorithms which allow the company to grow in a scalable way.