Senior Data Engineer (f/m/d)

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  • Um sich für diesen Job zu bewerben, besuche bitte www.stepstone.de.

Webseite Hamburg Risk.Ident GmbH

Online fraud is organised crime and on the rise. We want to create a world where online fraud no longer exists and that is why we develop fraud prevention products. Become the Sherlock Holmes of the web and help us build software that solves real fraud cases! In this never-ending race, we are fighting the bad guys with technology! We are looking for a Senior Data Engineer (f/m/d) who will help us to build and maintain our machine learning platform. At RISK IDENT, we make extensive use of data-collection, processing and machine learning algorithms to help our clients from e-commerce and financial services to detect fraudulent activities in their domain. You will be responsible for building and improving our platform to achieve this goal as part of our data Analytics team. An independent team consisting of Data Engineers, Data Scientists, an Agile Coach, and a Product Owner. If you have practical experience with data engineering and machine learning and a passion for building production-level analytics applications, you might be the perfect candidate for us! Design and implementation of software components for training, evaluation, and deployment of statistical models, graphs and machine learning algorithms Supporting the integration, release and deployment process Machine learning models life-cycle management Design and implementation of domain/data models and data transformation pipelines Working together with our data scientists to develop and integrate new approaches for fraud detection Bringing in your ideas of how to improve our software with new technologies Minimum of 5 years of experience as a data engineer, in software development or data science Experience in Scala and the related technology stack or a strong interest in learning it (functional programming skills and knowledge of related libraries like Scalaz or Cats are a plus) Experience with applying statistical models, graphs and machine learning algorithms Experience in processing large volumes of data, in particular NoSQL and stream processing technologies such as MongoDB, Apache Kafka or Apache Spark Working experience in Docker/Kubernetes/Jenkins is a plus You are a team player and communicate in an open, constructive and friendly manner You take responsibility for what you do, give and take feedback, and share your opinion You care about quality and testing, taking into account simplicity of your solutions You have hands-on experience with operational environments, or desire to learn how your software runs and what it takes to operate it Very good English language skills (we have an international team, German is not required) The possibility to take over responsibility and to realise your own ideas – from day one Collaborative environment in which everyone works on eye-level A team of experts that allows you to learn something new every day Budget for conferences, trainings, etc. and access to an online learning platform Free choice between Lenovo ThinkPad T-Series and 13” Apple MacBook Pro, and free choice of IDE Public transport & lunch allowance Regular workout sessions at no charge (shower in the office) Attractive discounts at various partner shops and gyms Relocation support: constant contact person, issuing documents, help with public offices, translation support, etc. And many more! If you would like to apply, please use the application button. Your application should include: Your CV (PDF format) Motivational letter (PDF format) that describes why you want to work at RISK IDENT. Please make explic… English language;Data Development;Algorithms;Libraries;Docker;Data domain;Scala;Apache Kafka;Fraud Detection;Machine learning;CATS;Technology;Quality Care;Quality Control;Design;Statistical models;Evaluate Training;Pipelines;No-SQL;Data Science;German;Data Transformation;Jenkins;MongoDB;I-DEAS;Implementation Original Stellenanzeige auf StepStone.de – Jetzt Jobagent bei StepStone einrichten und Traumjob finden! https://bit.ly/2KOagYD Mehr Informationen zu Arbeitgebern, Gehaltsdaten und Karrieretipps finden Sie auf StepStone.de

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