Manufacturing is one of the last sectors without truly digital and automatized operations. A lack of data accessibility is the key obstacle to the adoption of new technologies in manufacturing. As we have developed technology to tackle these issues, we at ENLYZE are at the frontier of a changing industrial landscape, capturing real-time manufacturing data in a structured way from an increasing amount of different PLC manufacturers. Enriching, processing and analyzing such data streams in a near-realtime manner has been and continues to be one of the most interesting challenges.

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 support current and upcoming projects in the exciting field of satellite data processing, we are looking for a Deep Learning Scientist/Engineer with focus on Remote Sensing at our headquarters in Munich. Our Earth Observation based portfolio is used worldwide by public authorities, companies and in scientific communities. With the help of our data analytics capacities we provide thematic and statistical information on various spatial reference levels globally. The processing of large amounts of satellite data with innovative analysis methods in cloud infrastructures has been indispensable for several years and enables e.

OUR RESPONSIBILITIES As a (Junior) Data Engineer you will help build up a top-notch data platform to democratise data among data savvy end users. Working with analysts, engineers and other stakeholders, you will play a key role in facilitating their data needs and help translating data to insights. In detail, your responsibilities include: Assist building our new data platform from scratch to facilitate all the data needs of the companyChallenge the status quo and push changes to bring Lendico to the next levelDesigning and developing robust data pipelines to connect all data sourcesBuilding data products and tools to make stakeholders’ lives easier and automate manual and repetitive tasksBeing part of a self-organized multinational BI team (7 people, 7 nationalities)YOUR PROFILE

The Helmholtz-Zentrum Geesthacht (HZG), in Geesthacht, near Hamburg, and in Teltow, near Berlin, conducts materials and coastal research. For further information please refer to: www.hzg.de HZG is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 1,000 employees carry out basic research and development work in close cooperation with national and international research institutions, research-oriented clinics and economic and public institutions. At the Institute of Materials Research some 200 scientists conduct research in the five sub-institutes “Materials Mechanics”, “Materials Physics”, “Materials Technology”, “Magnesium Innovation Centre MagIC” and “Metallic Biomaterials”.

We are Kolibri Games - a mobile games developer from Berlin. Our two games have over 100 million downloads and we are on a mission to become the most player-centric games studio out there.We believe in players, creating value, learning, but, most of all, we believe in people. We strive to offer you a fair recruitment process and a great candidate experience, as well as a friendly environment to work in, with plenty of opportunities to learn and grow.

Wir suchen dich ab sofort Für die Position ist der Standort Köln, Stuttgart, Frankfurt a.M., München, Berlin oder Leipzig möglich! DEINE AUFGABEN Konzeptionierung und Aufbau von Big Data / Analytics Plattformen    Aufbau von Big Data Expertise innerhalb des Teams    Auswahl von geeigneten Technologien für die Umsetzung von Data Analytics Use Cases    Entwicklung, Ausführung und Skalierung von Daten-Pipelines auf Cluster-Architekturen    Entwurf und Umsetzung von DatenmodellenBereitstellung von Daten in geeigneten Speichertechnologien für verschiedenste Anwendungszwecke wie interaktive Dashboards und statistische Analysen    Beurteilung der Datenqualität und Durchführung von Transformationen zur Datenbereinigung    Unterstützung des Data Science Teams bei der Entwicklung von statistischen Modellen    Operationalisierung von Modellen und Ergebnissen der Data Scientists, um diese zur produktiven Nutzung zur Verfügung zu stellen bzw.

At a Glance: We are looking for an experienced Data Engineer to join our data team and help us build, maintain, and grow our tools and processes to empower everyone at On to impact business outcomes by making informed decisions. We design data models, build data pipelines, decipher APIs, and leverage SQL to provide timely, clean, tested, documented, and well-defined data. Your Team: You will be part of a cross-functional development team that implements features from design to deployment, being responsible, and in charge of the full process and delivery.

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.

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.

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.

Are you passionate about creatively using technology, and both learning new things, as well as going deep into the technologies you use? Do you like the challenge of working with big data systems, operating at a very large scale of data? Our data engineering team is looking for a skilled data architect and -engineer, who is an expert on systems level and can help define, build and optimize our core analytics and data science data structures.

The Role Are you looking to influence the design and development of a consumer product that will touch millions of people? Are you a self-starter with a passion for both your work and the start-up adventure? Do you have exceptional skills in statistics and programming? Are you looking to play a foundational role at a very quickly-growing company? If yes, we should talk. We are looking for a Machine Learning Software Engineer (m/f/d) to help us design and develop machine learning and deep learning systems.

The Role Are you looking to influence the design and development of a consumer product that will touch millions of people? Are you a self-starter with a passion for both your work and the start-up adventure? Do you have exceptional skills in statistics and programming? Are you looking to play a foundational role at a very quickly-growing company? If yes, we should talk. We are looking for a Senior Machine Learning (ML) Software Engineer (m/f/d) to help us design and develop machine learning and deep learning systems.

<p><strong>Your duties / core responsibilities</strong></p><ul><li>Developing new real-time algorithms on the crossroads between<br />computer vision and computer graphics.</li><li>Prototyping new vision-based machine learning algorithms and tuning existing ones.</li><li>Inferring knowledge related to illumination, shadows, atmospheric effects.</li><li>Evaluating new requirements and implementing new features.</li><li>Finding and optimizing performance bottlenecks.</li><li>Collaborating with testing and operations teams to ensure<br />good usability and high reliability of our end-to-end system.</li></ul><p><strong>Your benefits</strong></p><ul><li>A dynamic, fast-growing environment with many possibilities for further development.</li><li>A highly motivated, interdisciplinary, multi-cultural team with focus and vision.

Wir suchen ab sofort oder zu einem späteren Zeitpunkt eine:nData Engineer / Software Entwickler:in* Big-Data-Technologien * Dein Geschlecht ist uns unwichtig, hauptsache du bist technologiebegeistert.  in Teilzeit oder Vollzeit Standorte: Karlsruhe, Pforzheim, Stuttgart, München, Köln oder Hamburg. Wer wir sind: Im Geschäftsbereich Data Management & Analytics helfen wir unseren Kunden, aus Daten wirtschaftlichen Nutzen zu generieren. Wir integrieren heterogene Datenquellen in Data Lakes, entwerfen analytische Streaming- und Machine-Learning-Plattformen oder entwickeln hochskalierbare und multidimensionale Auswertungs- und Analysemodelle.