Become an essential part of our backend team anywhere eccenca is developing next generation data management tools. As Java / backend developer (f/m/d) at eccenca you are responsible for the development and extension of backend components of our semantic enterprise data management solution. You feel comfortable managing database connectivity as well as designing, creating and extending REST-APIs and occasionally developing Spring Boot-based services. You are passionate about about creating the rock stable foundation upon which the rest of the team can build their business cases.

Über uns: Der Data Tribe ist für den Aufbau und Betrieb unserer modernen Daten-Infrastruktur verantwortlich. Wir schaffen damit täglich die Grundlage, um im gesamten Unternehmen Entscheidungen datengetrieben treffen zu können und das Erlebnis für unsere NutzerInnen ständig zu verbessern. Wir arbeiten selbstständig und sind durch unsere Rolle zugleich in nahezu alle Unternehmensprozesse involviert. Diese Aufgaben begeistern dich? Du entwickelst datengetriebene Produkte für unsere Endkunden und bist gemeinsam mit dem Team für den gesamten Lebenszyklus zuständig.

Are you up for a successful “Grown-Up” headquartered in Berlin-Friedrichshain? smava is one of the biggest fintech employers and has received several awards, including the price for Innovator 2019 and the Top Employer 2019. Our company grows by 80 percent each year – become part of the smava story now! And let us grow together. We are, smava – the online credit comparison. We make loans transparent, fair and cheap! Become a part of smava’s Data Infrastructure story now as a:

For our startup we are looking for a Java Developer who knows what’s going on and who is a good addition to our highly skilled development team. We are looking for people who like to focus on one area to become the go-to person in this area as well as people who need a new challenge every now and then. Talents who have new ideas are more than welcome as well. Responsibilities:

Your Tasks As Machine Learning Engineer (m/f/diverse) in our Risk Management team you are responsible for the development of machine learning pipelines and web services for real time fraud preventionYou further develop our automated retraining systemYou connect external, real time data sources via APIsYou develop tools for improved manual review of fraud casesTogether with your team, you build a fraud trend detection systemRequirements You have already gained profound professional experience in software development when it comes to creating APIs, connecting web services or building data applicationsYou are able to translate business requirements to programmatic solutionsYou have experience in designing and building pragmatic and maintainable solutions to business problemsYou have advanced programming skills in Java and/or PythonYou have a basic understanding of statistics and/or machine-learningKnowledge in Spring Boot, Numpy, Pandas, sklearn, Kafka, Docker and Postgres is a plusYou have very good English skills, German skills are a plusThat’s how working at RatePAY will be

Do you not only love to code but also want to see your work making the lives of millions of people easier?  Please keep reading! You will join GoEuro’s Marketing Growth team, where you will work on a variety of projects that aim at attracting users and making them travel with GoEuro for the first, second and hundredth time.  To achieve this vision, you will do the following: Design and build backend systems and contribute to frontend projects such as our Landing Pages System, ADs System, Analytics Data Pipelines, just to name a few.

Our IT-Team focuses on steadily improving our smava ecosystem of personal credit solutions. We continuously develop our online loan comparison platform and implement new product features. The whole application system consists of more than 50 individual services. And now, in the continuous process of achieving strategic goals, we are looking for Senior Java Big Data Engineer (m/f) who will redesign our data models to its best and will take care of the efficient use of the database.