(Senior) Data Engineer (m/w/d) Deine Aufgaben 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 ModellenOperationalisierung von Modellen und Ergebnissen der Data Scientists, um diese zur produktiven Nutzung zur Verfügung zu stellen bzw.

Would you like to get creative with Machine Learning techniques? Do you want to work technically and support others? Infineon’s central R&D department is expanding its competence center that supports other departments to implement Machine Learning. As a System Engineer you will work in an international and multicultural environment. Also, you will get deep insights into our organization - since application areas can be found across all of our divisions and range from development methodologies to the chips’ actual functionalities.

Do you like translating customer needs into IT solutions? As IT Business Analyst for HR Solutions, you will work closely with Infineon’s Human Resources Department and understand their needs regarding Recruiting and Talent Solutions. Most importantly, you will show them how to realize their needs within our IT infrastructure - and thus enable professional and appreciative processes, that are compliant with legal regulations. In your new role you will:Act as an interface between IT and Human Resources regarding Recruiting and Talent SolutionsBe Application Owner for our Application Tracking System (ATS), Candidate Relationship Management Tool (CRM) as well as for a planning system for Vocational TrainingEstablish expert Know-How on a technical, consulting and strategic level and drive continuous improvement of the solutionsBe responsible for incident management, service requests or change requestsPro-actively drive vendor- and release managementRepresent the team towards internal (e.

What you will do You will design, develop, deploy and maintain ETL processes and map-reduce jobsYou will conceive, deploy and maintain microservices on a modern AWS-based software stackYou will implement or ensure the correct usage of: monitoring, alerting, and other operational must-havesYou will be part of a team where Continuous Integration, Code Quality, Peer Reviews, Code Reviews, etc. are kept at very high standardsYou will work very closely on interesting (hard) problems with Data Scientists who will be happy to share knowledge and collaborateWhat we expect

Tasks Analyse business processes throughout the company and decide for software support and integrations neededCollect all relevant information in one single data warehouse/data lake for analysisAnalyse & visualize relevant data for all business units from product development to manufacturing as well as marketing & salesAutomate internal workflows between departments e.g. build API’s between internal systemsHelp set up a scalable data analysis toolset in the cloudSupport product development team in visualising data generated from the hardwarePotential benefits per area

Minimum qualifications: Bachelor's degree in Computer Science or related technical field or equivalent practical experience.Work or educational experience in Machine Learning or Artificial Intelligence.Professional software development experience.Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python. Preferred qualifications: Master's or Doctorate's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field.Experience with one or more of the following: natural language processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.

Your role: Design, build, test and package components to ingest, transform and store large volumes of streaming data that are composable into reliable data pipelinesConduct requirements engineering and map requests to a suitable data architectureOrchestrate and instrument data pipelines so they are scalable and maintainableMaintain exiting code base and take care of automated building, packaging and deployingEvaluate and benchmark technology options. Run PoCs and estimate operations cost.Align with Backend Engineers, define requirements and request optimizationsYour profile:

Data Engineer (m/f/d) Dresden / full-time We offer Attractive and competitive salary as well as participation in successDeveloped and defined areas of responsibility directly by implementing your own ideas as well as by taking the lead for independent projectsModern offices with a pool table, foosball and ergonomic office equipment right in the heart of the cities of Dresden and BerlinFlexible working hours, working from home when needed and an equilibrium between work and lifeProfessional and personal development through feedback talks, language classes, MOOC fee reimbursements (e.

We are looking for a Knowledge Engineer (f/m) who has experience with NLP and Machine Learning and wants to join our Semantic team in Frankfurt, Germany. Beyond the required skills and abilities, we are looking for a highly passionate, optimistic, and confident individual who can work with equal dedication for projects that come along. What you’ll be doing Apply Machine Learning and NLP techniques to develop high-end software solutions for the world’s leading real estate companiesDevelop knowledge representations and vertical ontologiesCreate and maintain linguistic resources (text corpora, dictionaries, rules, etc.

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.

You and Your Role We’re looking for a generally nice and smart person to join our development and research team in Berlin. You have an academic background in machine learning and at least 3 years of hands-on industry experience.You consider yourself a Data Scientist beyond just using BI tools.You can verify your findings with sound & solid statistics.You’ve implemented different ML algorithms yourself and know which toolboxes offer well written variants of them.

Viastore entwickelt und verkauft Intralogistiklösungen in Form von Hardware und einer Warehouse Management Software-Lösung. In unseren Intralogistikanlagen bei den Kunden vor Ort werden jeden Tag enorme Datenmengen produziert. Diese möchten wir nutzen, damit unsere Kunden ihre Anlagen besser verstehen und wir bereits reagieren können, bevor technische Probleme entstehen. Sie haben spontan viele Ideen, wofür wir die Daten noch nutzen könnten? Als „Macher“ sind Sie bei uns genau richtig: Für unseren neu gegründeten Bereich „Business Intelligence“ sind wir auf der Suche nach einem Data Scientist, der Lust darauf hat in einem kleinen Team die Data-Science-Landkarte mitzugestalten!

We’re looking for a motivated and driven (Senior) Data Engineer (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success. Your Tasks – Paint the world green You will be responsible for building a data platform for running big data workloads at scale, collecting and combining data from various sources and help data consumers to consume data in our data lake.

As a Senior Developer at CARFAX Europe you will be a part of an agile, cross-functional team that is responsible for the full lifecycle and operation of its product(s). You will develop tools and services for both our internal and external customers. Building on your valuable experience as a software craftsman, you will enable the team to establish and improve sustainable practices such as Test-Driven Development, Object-Oriented Design, and Pair Programming.

Ihre Aufgaben: Sie entwickeln innovative Lösungen mit Methoden des modernen Datenmanagements und der automatisierten DatenanalyseSie führen Proofs of Concept durch und implementieren Prototypen zur Datenmodellierung, -verwaltung sowie -auswertungSie haben Spaß daran, mit umfangreichen, komplexen Datensätzen verschiedener technischer Domänen zu arbeitenSie entwickeln Lösungen zu speziellen Herausforderungen der Datenanalyse mit passenden Datenmanagement Konzepte und KomponentenEnd2End Datenanalysen inkl. Anforderungsanalyse, Datenvorbereitung, Modellbildung, Datenmanagement, Validierung sowie Data Storytelling gehört auch zu ihren AufgabenSie sind als Spezialist der Ansprechpartner für unterschiedliche interne und externe Stakeholder und arbeiten cross-funktional im gesamten UnternehmenIhr Profil:

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.

About the team:  We are responsible for building the data platform. We are highly focused on simplicity and ease of use by all data-oriented users. We are a strong enabler of our data-strategy: make the right data easily available to everybody for high-quality decisions.  Our tech stack: Scala, Java, everything with Kafka (Streams, Connect, KSQL,…), Akka, Spark, Flink, Docker, K8s, Play, Slick, AWS Services (eg. EMR,S3), NewRelic, JUnit, ScalaTest, ScalaSpec

Teraki is a Berlin based tech driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides data reduction and data processing solutions for Automotive (IoT) applications and enables the launch of new applications by reducing hardware footprint, latency and costs. We help our customers on the challenges that are posed by the exploding amounts of data in connected vehicles for all sensor, video and 3D mapping data.

As a Data Engineer you will be working on our large scale analytical databases and the surrounding ingestion pipeline. Your job will involve constant feature development, performance improvements and assure platform stability. The mission of our analytics team is “data driven decisions at your fingertips”. You own and provide the system that all business decisions will be based on. Precision and high quality results are essential in this role. You can expect an international team of Developers who are based in Hamburg.

ABOUT THE TEAM Department: Supply & Demand Reports to: Engineering Lead Team Size: <10 Recruiter: Almog Greenberg, almog.greenberg@zalando.de As a Python Backend Engineer in the Pricing & Forecasting team, you’ll bring the engineering perspective into our data science teams. You will build the required microservices serving large data from the models and the pipeline for machine learning. You will challenge our status quo, drive innovation and apply agile best practices. WHERE YOUR EXPERTISE IS NEEDED