The impressive amount of data generated in today’s high-tech operating rooms offers a wide range of opportunities for surgical process improvements: Besides acceleration of documentation tasks and support of clinical education, this data serves as basis for any intelligent task automatization and smart assistance tools that improve surgical procedures in terms of safety, quality and cost. For our growing team, we are looking for a software developer working on various applications and/or components that enable the modelling and analysis of surgical activities as input for further product development.

Looking for a company where you can have an impact? A company where you can have the best of two worlds – an ambitious work environment and an inclusive culture? eBay Kleinanzeigen is the most-visited general classifieds site in Germany and growing at speed. Currently, we have more than 45 million live ads and 35 million unique visitors per month – with the majority on mobile devices. eBay Kleinanzeigen helps people find whatever they’re looking for and every connection made or item found makes a difference by creating a world where people share more and waste less.

Whom we are looking for: Excellent understanding of machine learning techniques and algorithmsExperience with common data-science toolkits, such as Pandas, NumPy, etc Experience with data visualization tools, such as D3.js, GGplot, etcExperience with SQL or/and NoSQL databasesExperience with scripting and programming languages  such as Python, R, etc Good applied statistics skills, such as distributions, statistical testing, regression, etcAt lest a bachelor degree in Computer Science, Data ScienceKnowledge in financial services industry such as Banking, FinTech, etc is a plusKnowledge in Azure cloud services is a plusAt least 2 years of relevant professional experienceYou will be responsible for:

As part of the KI group, we shape an efficient future with data and technology! At xgeeks we are looking for a Data Engineer with a keen eye for high quality execution to join our rapidly growing teams in the lovely city of Munich. Here, you will design and build solutions for start-ups and scale-ups together with an international team, with people coming from the biggest companies in Europe. We are a team of very talented individuals building state of the art solutions for the major brands in Europe.

What’s next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio. We’re looking for an experienced data engineer to join our Search & Recommendations team. This cross-functional team is responsible for developing, testing and maintaining efficient pipelines and services that transform raw data into features aimed at helping users discover new music on SoundCloud.

Wir suchen ab sofort oder zu einem späteren Zeitpunkt eine:n Machine Learning Engineer / Data Engineer* *Gender, Herkunft etc. sind keine Bewertungskriterien. Hauptsache, du bist genauso technologiebegeistert wie wir.in Teilzeit oder VollzeitStandorte: Karlsruhe, Pforzheim, Stuttgart, München, Köln oder Hamburg.  Du findest Daten genauso faszinierend wie wir und möchtest unsere Kunden bei der Digitalisierung ihres Kerngeschäftes unterstützen? Dann bist du bei inovex genau richtig! Denn wir freuen uns jeden Tag neu darauf, Zusammenhänge in großen Datenmengen  zu erkennen und Erkenntnisse für unsere Kunden abzuleiten.

Seit über 20 Jahren ist Axess ein führender Hersteller im Bereich Zutrittsmanagement und Ticketing. Die Produktpalette umfasst neben Zutrittssystemen für Sport, Freizeit, Kultur und Verkehr, auch maßgeschneiderte und zukunftsorientierte Softwarelösungen. Das breitgefächerte Anwendungsspektrum bietet unter anderem die Grundlage für einen spannenden Arbeitsalltag. Dies spiegelt sich ebenfalls in einer breiten Palette an eingesetzten Technologien wider, die sowohl jungen als auch erfahrenen Entwicklern ermöglicht, ihr Wissen und neue Ideen in verschiedenen Bereichen für die Implementierung von bestehenden und neuen Produkten anzuwenden.

Become a data-loving engineer in a great team and shape the future of advertising with us you will be part of our small multidisciplinary agile team of developers, data engineers and data scientists called “Advertising Intelligence”you like to make sense out of huge amounts of data and build products on top of ityou are interested in creating automated pricing solutions for programmatic auctions, visualizing data streams, monitoring & alerting systems for our stakeholdersyou are eager to gain more domain knowledge in digital advertising and further deepen your experience with cloud infrastructure, machine learning and data explorationyou like to work in an easy going, open minded team where you will have lots of freedom but at the same time have a huge impact on revenueyou want to code with us in Python, R or Typescript (but as we are multilingual team and things are changing fast this is not a must)You are a

Do you take great pleasure in being responsible and further developing a state-of-the-art Data Warehouse environment? Are you passionate about organising all related tasks and further improve the ETL process? Are you known for your out-of-the-box thinking and willing to take the challenge to coordinate our whole Data Warehouse product?We can offer you the challenge you are looking for! As part of our Data Intelligence team, the Data Warehouse team is responsible for providing business-relevant information in a comprehensive, reliable, and stable environment.

Our story (the bitesize version): As Just Eat Takeaway.com, we’re one of the world’s biggest food delivery companies. Delivering dishes across 25 countries worldwide – from Berlin to Brisbane – we serve millions of food-lovers every day. Many of those orders happen with ‘Scoober’, our delivery logistics operation. From project managers to city coordinators and couriers, Scoober supports restaurants by taking care of their deliveries. Do you want to be a part of the future of food delivery?

Our Big Data Architects are not afraid to get their hands dirty. In this role, you will be responsible for all levels of the design process from strategic consulting, design, implementation to operations. You will also be working on the core system functionalities as the leader of sophisticated technical teams. Ultra Tendency is pioneering the future of data technologies with innovative solutions for large, global enterprises. Our mission is to enable every kind of organization to harness the power of its data to drive the digital transformation of products and processes.

At the earliest date possible we are looking for support for our #teamsonnen We are searching an experienced Data Architect / Data Engineer to take over a leading architecture and engineering role in our Advanced Data Analytics team. The team is a top-level expert team within the technology unit of the sonnen group. In close collaboration with sonnen’s functional units we develop new business and product relevant data analytics and  services to serve our customer with smart solution and in-depth advanced business insights.

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

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.

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.

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