We’re looking for a Data Engineer to help us bring our data processing infrastructure to the next level, using a wide array of modern technologies, and forward-thinking development process.WE OFFER Stability: a permanent full-time contractFlexibility: 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 fundamentalYOUR MISSION
The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 1 million active customers in 11 countries. In only 9 years on the market, we have grown to more than 267 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive.The Westwing team is the secret to our success.
What you will do: You will drive the architecture and design as well as implementation for all of our systems, including real-time backend systems and critical data pipelines.You will support the evaluation of potential external partners and be driving integrations as a technical expert.You will take ownership of the full development cycle while ensuring the systems are running correctly and efficiently.You will work with different teams to drive critical technical projects and initiatives.
re:ceeve is a well funded FinTech start-up based in Hamburg, run by seasoned founders. We are recruiting individuals looking to put their dent on the world and in the collections space. We believe that our software has the potential to completely disrupt credit lifecycle management and take it in a new direction by automating obsolete processes using AI and harvesting data to impact the top line. Further, we want to reimagine the industry ground up based on software sales versus collection fees.
APPLYING MACHINE LEARNING TO PROCESSES, NOT PEOPLE At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.
At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.
Your mission: One of the guiding concepts of the DLR-aeronautical research is the “virtual product”: The digital representation of a vehicle with all its characteristics over the whole life cycle. The institute of Software Methods for Product Virtualisation researches and develops the necessary basis for an end-to-end digitalization. We are searching for committed scientists to enhance our researches in the field of data traceability (in particular by means of metadata).
Are you passionate about creatively using technology, and both learning new things, as well as going deep in the technologies you use? Do you want the chance to work with big data systems, operating at a very large scale?Our data engineering team is looking for a skilled developer and expert on systems level who can help build and maintain our big data architecture. We want someone who can not only use but also maintain and further develop our big data infrastructure, with Hadoop at its core.
Wir suchen dich zum nächstmöglichen Zeitpunkt // unbefristet // in Vollzeit // am Standort Köln als: SENIOR DATA ENGINEER (M/W/D) Wir gestalten die mediale Zukunft! In unserem zentralen Bereich für Daten der Mediengruppe RTL, Data & Audience Intelligence, bündeln wir die Expertise rund um das Thema Daten und Daten-Technologien und treiben unternehmensintern sowie marktübergreifend den digitalen Wandel in der Medienbranche. Wir entwickeln datengetriebene Lösungen mithilfe von Analytics, Machine Learning und Artificial Intelligence und bauen so unseren Wettbewerbsvorteil im deutschen Markt immer weiter aus.
Location Vienna (Austria). Full time. No remote, no outsourcing. Description We are looking for a research engineer in the field of machine learning for signal processing. The primary role is to research and develop alternative and combined methods and algorithms to our proprietary framework for audio enhancement, microphone array processing, acoustic echo cancellation, and speaker recognition. Qualifications – Master or PhD degree in Electrical Engineering or equivalent. – Proven record of international publications as first author on support-vector and deep-learning regression.
Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Data Scientist/Machine Leaning Intern with a passion for statistical analysis, building predictive models, and designing end to end frameworks to improve wireless performance of Apple products. You will work on feature engineering and developing machine learning models to optimize software algorithms with the ultimate goal of enhancing the wireless experience for Apple customers.Developing various predictive models that will be applied to optimize Performance of Apple products.
As a Data Engineer at Mimi you will: Work on designing and implementing a data strategy to improve our data managementWork with research and product teams on ETL/ELT pipelines between production and analytical databaseSupport design and implementation of data formats in various research and product contextsSupport maintenance of Mimi’s databases containing user profiles as well as internal scientific study dataAssist with designing and implementing of data queries and visualizations on OLAP for internal purposesTake ownership of Data Engineering topics and work towards taking leadership in themInteract with diverse teams within the company (research, product, marketing …) to consider and take into account their data requirementsEvaluate different implementation strategies and technical trade-offsShare your knowledge of Data Engineering practices and potentially mentor othersWHAT YOU BRING TO THE TABLE
Want to be a Hero? - Join one of the leading global online food ordering and delivery platforms! We are looking for a (Senior) Data Engineer (f/m/d) to join the Competitive Intelligence team to help analyze complex data sets, build meaningful data products and bring to light valuable insights relevant across Delivery Hero’s markets. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Software Engineer – for Experiment Control and Data Acquisition at EMBL in Hamburg, Germany About this position We are seeking to recruit an enthusiastic software engineer who wishes to develop and maintain software for controlling high-end instruments and the associated large-volume flows of experimental data on the synchrotron stations at EMBL Hamburg. This opportunity is open to candidates at the beginning of their career. The Hamburg Unit of the European Molecular Biology Laboratory is in charge of four experimental stations on the PETRA III synchrotron, one of the world brightest X-rays sources run by DESY in Hamburg (https://www.
Are you an engineer with a passion for data and data pipelines? Are you a skilled collaborator and communicator with experience in working across teams to solve complex problems? Our Marketplace team is looking for an innovative yet detail-oriented data engineer to set up, maintain, improve and optimise our daily production of data. In this role, you’ll work closely with both Data Scientists and other Data Engineers to continuously enhance our data-driven decision making.
trivago is currently working on the restart of the travel industry after the global COVID-19 pandemic and we see this as an opportunity to improve our core product, expand our offering by developing new products and diversify our revenues through new revenue streams. The Market and Advertiser Dynamics team develops different types of auctions and is responsible for the commercialization of our products. Advertisers compete in these auctions for exposure in trivago’s website (and mobile Apps) by submitting attractive property rates and competitive bids.
YOUR MISSION Shape the vision of Hypatos AI products, based on Deep Learning technologyFacilitate the Machine Learning and Engineering teams to manage uncertainties in the innovative technological area based on the anticipated customer needsRepresent the voice of end customers for data scientists and Machine Learning engineers, data factory, and product delivery team Prioritize among multiple projects and working tasks while working closely with cross-functional stakeholders, esp. product delivery, application development, and system engineering/DevOpsBuild a product portfolio and maintain product roadmaps Plan product components development, that includes providing API, integration with user-facing part of the solutionDefine use cases based on the customer journey and business needsEnsure delivered product features will provide optimal business valueYOUR PROFILE
Job Description As Solution Engineer, you will be a part of our Healthcare Platform team and together with your team mates you will integrate the next generation digital health tech platform and the medical data hub in hospitals. The central and powerful data hub will connect and manage data streams within a hospital IT environment, escorting the patient data journey. The data hub enables exchange between all data sources like hospital information systems, PACS, medical devices and sensors, also in the surgical environment, thereby bringing the vision of the internet-of-things in digital healthcare environments to life.
The Technology Outsourcing Function is seeking an experienced professional to join the team and assist in the monitoring and oversight of J.P Morgan’s Western European Technology services that are outsourced and external and inter-affiliate vendors that support those outsourcings.The Technology Outsourcing Function partners with the lines of business, Legal Entity Outsourcing Governance Managers, Global Technology Infrastructure (GTI), Corporate & Investment Bank (CIB) Technology, Information Security Managers (ISMs) and Information Security Officer (ISOs) in addition to other relevant stakeholders across Western Europe to assess compliance with corporate and regulatory requirements and address any deviations from same that may be noted.
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