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.
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.
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, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps.
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.
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.
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.
As Data Warehouse Engineer (all genders) you will take a key role in the ongoing development, maintenance and architectural evolution of our data warehousing systems. You will be shaping the future of our data warehouse solution based on big data technologies and be responsible for collecting, processing and providing data in accordance with decisive business requirements. You join a supportive team of specialists in a pragmatic environment, with short communication processes and flat hierarchies, perfect for developing your skills and competencies and having a high impact on our business results.
–––––––––––– 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.
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.
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.
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.
Als Cloud Berater*in mit dem Schwerpunkt Data arbeitest du mit uns zusammen und unterstützt unsere Kunden bei dem Weg in und durch die Cloud. Schwerpunkt ist das Erstellen von Data Lakes, ETL-Pipelines etc. Der Fokus liegt dabei auf Beratung, Coaching und Trainings. Werkverträge und Arbeit nach Pflichtenheft gibt es bei uns nicht. BUZZWORDS: Hier ist eine Liste von Dingen mit denen du bei uns in Kontakt kommen wirst. Lass dich nicht abschrecken! Am Ende wird ja doch nur mit Wasser gekocht.
The spirit of a startup at one of Germany’s largest family-run businesses? A contradiction? Certainly not: At Oetker Digital we support our group companies in shaping their digital agenda and share our competence to pursue the digital future of the Oetker Group. We have a deep understanding of emerging trends and help to develop new business fields. Our ambitious goals will lead us and our group companies along exciting paths! Share your passion for data and coding and become part of our team as
WE OFFER Stability: a permanent full-time contract Flexibility: home office policy and flexible working hoursBalance: 28 days of vacation and a gym subscription to take care of yourselfChallenge: an international and fast-growing company that develops with youBelonging: scheduled breakfasts, shuffle lunch, team events. Team building is for us fundamental YOUR TASKS Maintain our ETL and streaming pipelines while extending them by implementing new featuresSetup monitoring and alarm systems to control the health of our pipelines and ensure stabilityMaintain and develop our data infrastructureDiscuss and advise on architectural and implementation decisions, as well as best practicesSupport the engineering team to integrate the products to the data services and databases
Locations: This role can be based anywhere in Germany, Switzerland, Austria or the Nordics. Are you passionate about Machine Learning (ML), Deep Learning and Artificial Intelligence (AI)? Are you excited by the challenge of driving production usage of ML and AI? Come join us! As a Specialist Solutions Architect, youll innovate and scale architectural best practices around building and operating ML workloads by collaborating with customers, developing content and enabling the wider community to adopt the AWS portfolio of services around AI & ML.
our öffer Analysis of complex data, data preparation and development of prognostic models based on modern statistical methodsAdvancement of our innovative services through use of modern technologies in data analytics and Big DataIdentification of specific customer problemsConsolidation of data and analyses results as well as creation of appropriate visualization to conclude recommendations for actionCoordinating internal and external project partnersPlanning, prioritization and implementation of different project tasks according to the customer requirementsPreparation as well as holding customer presentationsyöu
Based in Suisse romande you will support large and medium-sized companies from all over Switzerland in the design of their future data lakes. Together with customers, you will design their data science portfolio in order for them to get the maximum value out of the data assets. You will develop scalable ETL pipelines and data warehouse architectures based on the Google Cloud Platform. You will support customers with evaluations and the development of specialised visual applications and/or help them to build state-of-the-art machine learning algorithms.