Posts List

Oracle Financials Cloud System Analyst (d/f/m) at AUTO1 (Berlin, Germany)

What you will do: Work with the Finance and IT divisions as well as other business users to scope and support Oracle Fusion application systemSupport the requirements definition and implement new and existing business processes and reportsBe an owner: Take technical responsibility for existing and newly kicked-off projects.Liaise with and maintain close contact with business users, Oracle for production support and bug/issue analysis.Maintain overview of Oracle’s enhancements and new functionalities and pro-actively evaluate these with the businessMonitor the application/system security in line with the IT security policies, including user, access, usage managementWhat you should bring:

Senior Machine Learning Engineer (m/f/d) at AS Ideas (Berlin, Deutschland)

Your Tasks You will develop and operationalize machine learning models in a balanced team of software engineers, data engineers, designers and product managersYou will help to identify, shape and implement data-driven product featuresYou will participate at meetups, conferences and the research community and apply what you’ve learned back at your daily workYou will take an active part in building up the newly created machine learning/data science teamYour Profile A scientific education in mathematics, statistics, economics, computer science, machine learning or similarPrevious work experience in data science, machine learning or similarExperience with programming languages such as Python, R or Scala and SQLExperience with the PyData stack (pandas, scikit-learn, keras and many more)Experience with the command line, shell scripting and version control (Git)Strong theoretical and practical understanding of machine learning and statisticsExperience with distributed computing frameworks (Spark, Hadoop and Flink), deep learning algorithms (feed-forward, CNNs, RNNs) and cloud services (AWS, Google Cloud)Experience with modern agile software development practices like test-driven development, pair programming, CI/CD etc.

Big Data Systems Engineer (m/w/d) at inovex GmbH (Köln, Deutschland)

Was dich bei uns erwartet:  Als Big Data Systems Engineer bist du bei unseren Kunden für die Konzeption, Installation und Konfiguration der Linux- und Cloud-basierten Big-Data-Lösungen verantwortlich. Ebenfalls zu deinen Aufgaben gehören die Bewertung bestehender Big-Data-Systeme und die zukunftssichere Erweiterung bestehender Umgebungen. Du kümmerst dich dabei ganzheitlich um die Systeme und betreust diese vom Linux-Betriebssystem/Cloud-Service bis zum Big Data Stack. Für die Bereitstellung der oftmals komplexen Big-Data-Umgebungen setzt du bevorzugt auf “Infrastructure as Code”.

Data is like people interrogate it hard enough... (Data Engineer) at Jochen Schweizer GmbH (München, Deutschland)

Data is like people – interrogate it hard enough and it will tell you whatever you want to hear. (Data Engineer) Our client has a mission to inspire people with experiences. It offers private and corporate customers a sustainable alternative to representational gifts. Because inspiring experiences are remembered. In addition, as the market leader for experiences and adventure gifts, it is driving forward the digitization of the leisure industry. The company currently employs more than 250 people, enabling hundreds of thousands of people to experience each year.

Engineering Lead Data at KI labs GmbH (München, Germany)

About Us At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today.

Data Engineering Lead at KI labs GmbH (München, Germany)

About Us At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today.

Data Science Engineer (f/m/d) at Holoplot GmbH (Berlin, Germany)

Your tasks: As a Data Science Engineer at Holoplot, you will empower a data driven approach across the full organisation. You will work within agile, cross disciplinary teams for manufacturing, sales, marketing, SCM and hardware development, fundamentally enhancing their work experience with data and insights. You will architect, build and introduce cloud-based infrastructure for collecting, analysing and visualising all data coming out of the various sources for applications. like predictive maintenance/quality, automation, robotics, growth, QA and others.

Data Scientist Informatiker/Physiker/Mathematiker (m/w/d) at AXA Konzern AG (Köln, Deutschland)

Wer neue Wege erschließen will, muss bewerten, was da ist, kritisch sein und Dinge hinterfragen. Dazu muss man auch mal Stolpersteine überwinden. Wir suchen Analytiker und Vordenker, die sich davon nicht beirren lassen. Die ihr Know-how in Lösungen gießen wollen, die Nutzen stiften und weiterbringen. Welchen Weg Sie und Ihr Team zu diesem Ziel wählen, ist dabei zweitrangig. Solange der Output stimmt – so einfach ist das. Deine Aufgaben: Ein starkes Team und vielseitige Initiativen im Data-Science-Umfeld, die allesamt von strategischer Relevanz sind – vom Risk Modelling über Pricing und Process Optimization bis hin zur Fraud DetectionDie Möglichkeit, als Experte für moderne Analyseverfahren (insb.

Data Engineer (f/m/d) at Delivery Hero SE (Berlin, Germany)

Delivery Hero is building the next generation of online food-delivery platforms. We are truly international with engineering teams in 12 countries and operations in 40+ countries. Delivery Hero Tech has played an instrumental role in the large growth of our company. Our Tech teams leverage a diverse stack to create cutting-edge solutions which cover the full customer experience - starting with an online search for food and ending with a delicious meal arriving at your doorstep.

Small Company - Big Data - Great Future! (Geo Data Engineer) at TerraLoupe (München, Deutschland)

Small Company - Big Data -  Great Future! Geo Data Engineer Our client is an exciting young and innovative Start-Up, which is analyzing aerial images with artificial intelligence. Now they are looking for a Geo Data Engineer, who will join their team long-term! What will you do there? -You are responsible for optimizing and automating the handling of large Geo Data on their platform. -Automating the machine learning process -Improving the creation, handling, etc.

Customer Engineer, Data Management Specialist at Google (Munich, Germany)

Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.Experience serving in the capacity of a technical sales engineer in a cloud computing environment or experience in a customer facing role.Experience with database technologies.Experience with data migration strategies and moving large scale production systems. Preferred qualifications: Master's degree in Computer Science or other technical field.Experience with optimizing database performance with respect to transactional and/or analytic workloads.Technical sales experience or professional consulting experience in the fields of systems integration, large scale data transfer/management, and enterprise database performance.

Senior Software Engineer (Java) - Cloud Services at data Artisans (Berlin, Germany)

Data stream processing is redefining what’s possible in the world of data-driven applications and services. data Artisans with its dA Platform product and its major contributions to open-source Apache Flink is at the forefront of this development. Our teams are pushing the boundaries of what can be achieved with data stream processing, allowing our users and customers to gain more insights into their data in real-time. Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production.

Senior Data Engineer at KI labs GmbH (München, Germany)

At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data, and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of the future, today. We believe in open-source and independent teams, follow Agile practices, lean startup method and aim to share this culture with our clients.

Lead Data Engineer at PriceHubble AG (Zürich, Switzerland)

Your role Data engineers are the central productive force of PriceHubble. As a Lead data engineer, your mission will be to lead our Data Engineers across the 3 offices and to build and maintain our extract-transform-load infrastructure which consumes raw data and transforms it to valuable real estate insights. Your daily challenges will be to mine a wide range and variety of new datasets of all sort, build new datasets, extract and create new features.

Data Engineer Cloud (m/w/d) at Breuninger GmbH & Co. (Stuttgart, Deutschland)

Fashion und Lifestyle, 5.500 Mitarbeiter, 11 Department Stores, 1 E-Shop, 1000 Marken, 20 Restaurants & Confiserien, 15 erstklassige Services und stets ein besonderes Einkaufserlebnis – das ist Breuninger. Aufgaben Das Data Platform Services Team ist verantwortlich für den Betrieb sowie die Weiterentwicklung der Data Platform bei Breuninger. Die Plattform ist die Arbeitsgrundlage analytischer Prozesse, die unternehmensrelevante KPIs erarbeiten und diese in Dashboards abbilden. Außerdem werden Daten für operative Systeme bereitgestellt und regelmäßig neue Datenfeeds (intern wie extern) angebunden, welche die Genauigkeit der Insights verbessern.

Data Engineer (f/m) - Universal Music Entertainment GmbH at UNIVERSAL MUSIC ENTERTAINMENT GMBH (Berlin, Deutschland)

Data Engineer (f/m) - Universal Music Entertainment GmbH Universal Music is the world’s leading music company. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising and audiovisual content in more than 60 countries. Universal Music Group is a subsidiary of Vivendi, a global acting media and communication company. Digitalization is influencing almost every part of life, especially the music industry. As the number of sales units grows faster due to streams and downloads we must handle bigger data feeds, process them faster and analyze them more precisely to gather more and better insights.

Junior Consultant Data & Technology (w/m) im MHP JumpStart Programm at MHP - A Porsche Company (Ludwigsburg, Deutschland)

Aufgaben Du führst spannende und herausfordernde Projekte durch und gestaltest zusammen mit unseren Kunden die Zukunft im Automotive und Manufacturing.Su begleitest Kundenprojekte von der ersten Idee, über Konzeption bis hin zur agilen und flexiblen RealisierungDu analysierst Geschäftsprozesse und deren Daten und entwickeln innovative Anwendungen und Lösungen für unsere Kunden in den oben genannten ThemenfeldernDu generierst aus großen un-/strukturierten Datenmengen relevante Informationen zur Optimierung der Geschäftsmodelle unserer KundenDu modellierst Geschäftsprozesse und fachlich/technische Designs mit besonderem Schwerpunkt auf die IT und Usability (UI/UX)Du steuerst Arbeitspakete und Module in erfolgskritischen IT-Umsetzungsprojekten und übernimmst ab dem ersten Tag im Projekt VerantwortungDu bereitest Kundenworkshops und Meetings vor und gestalten diese aktiv mitDu unterstützt aktiv das ProjektmanagementQualifikationen

Senior Data Analyst (m/f/d) at Conrad Connect GmbH (Berlin, Deutschland)

These tasks are waiting for you: Develop and implement management processes for large IoT data volumes generated by users of smart devicesPerforming root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementOptimization and maintenance of the ETL process (extraction, transformation, loading)Collaborate with our company’s IT department to assess technical requirementsManage and complete your own projects Assist with quality assurance and data maintenanceAssist with analytics and projectionsDevelop workable approaches for action, decision making and algorithmic sales and purchasingManage and expand our RT and NRT processing systemsUse standard and new data evaluation methods that are centered around user behavior regarding compatible IoT devicesWho we are looking for:

Senior Data Analyst (m/f) at Conrad Connect GmbH (Berlin, Deutschland)

These tasks are waiting for you: Develop and implement management processes for large IoT data volumes generated by users of smart devicesPerforming root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementOptimization and maintenance of the ETL process (extraction, transformation, loading)Collaborate with our company’s IT department to assess technical requirementsManage and complete your own projects Assist with quality assurance and data maintenanceAssist with analytics and projectionsDevelop workable approaches for action, decision making and algorithmic sales and purchasingManage and expand our RT and NRT processing systemsUse standard and new data evaluation methods that are centered around user behavior regarding compatible IoT devicesWho we are looking for:

Data Engineer at KI labs GmbH (München, Germany)

For KI labs we are looking for data engineers at mid-senior levels of experience (and also working students), to join our rapidly growing data team in Munich as part-time or full-time employees. Your Responsibilities Design, build, and scale data products, and deploy them on public and private clouds, e.g. Amazon AWS, Google Cloud or Microsoft Azure;Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insight where to go;Support Cloud Engineers and Data Scientists with architecting and orchestrating data infrastructures;Support Software Development teams with Data, e.