Posts List

Senior Data Engineer (Spark) at The ADEX GmbH (Berlin, Deutschland)

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a Spark/YARN cluster of more than 60 machines. We are currently revamping and rearchitecting our Big Data systems. This will involve the integration of some cutting-edge technologies into our tech stack and the challenge of extending the on-premise cluster to the cloud.  We are therefore seeking a proactive, proven and creative (Senior) Data Engineer who can design and implement new features for our DMP.

Data Engineer (m/f) at mbr targeting GmbH (Berlin, Deutschland)

We are looking for a Data Engineer (m/f). YOU will … Build scalable, data-driven products from scratch.Design and implement high-performance data processing pipelines.Develop software that analyses large amounts of data and delivers results to the end user.Cooperate across teams (Backend, Product) to understand how different systems interact with each other.YOU have … an academic degree in Computer Science or equivalent.proficiency with one or more programming languages we use every day (e.

Big Data Developer (f/m) - Hadoop, Spark, Druid, Java at Smaato (Hamburg, Germany)

About the job The Big Data Developer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Developer builds software to pass automated acceptance tests and to deliver sprint commitments. You can expect a very international team of Developers who are based in Hamburg.

Data Scientist (f/m) at Feingold Technologies GmbH (Berlin, Germany)

Area of responsibility The Data Scientist is responsible for designing, developing and implementing learning algorithms and analyzing big data in the health care domain. Tasks and responsibilities Participate in cutting edge research in machine intelligence and machine learning applicationsDevelop solutions for real world, large scale problemsExperiment with novel approaches, some of which might have originated from academic workWork closely with the backend engineers to design and maintain scalable data models and pipelinesRequirements

Senior Big Data Architect at GameDuell (Berlin, Deutschland)

The Senior Big Data Architect will be responsible for strengthening and further extending our data platform, which serves as a basis for analysis that drives decision making in the company. GameDuell is one of the leading casual games companies in Germany located in the heart of Berlin. With more than 130 million users we are constantly looking for ways to improve our product and our players` experience. In order to fulfill our mission of bringing people together to have a good time with games, we are following a solid engineering approach.

Data Infrastructure Lead (m/f) wanted for leading e-hailing app in Europe at mytaxi (Intelligent Apps GmbH) (Hamburg, Germany)

We are currently looking for a motivated and experienced Data Infrastructure Lead (m/f). You will be the lead of a growing Data Engineering Team at mytaxi that works with an extensive variety of data systems in order to expand and develop an analytical platform that enables business users and data scientists to make data driven decisions, build innovative data products and roll out advanced analytics. The Data Engineering Team is committed to developing a modern data infrastructure at mytaxi based on a Hadoop Data Warehouse.

Data Scientist - McKinsey Analytics at McKinsey & Company (Düsseldorf, Germany)

Sie werden Teil unseres sehr engagierten und kollaborativen Advanced-Analytics-Teams und beschäftigen sich mit spannenden Projekten aus allen Branchen. Wir arbeiten eng mit Klienten und Content-Experten zusammen, um Analytics-Lösungen, -Expertise und -Fähigkeiten in die Organisation unserer Klienten einzubetten. Durch die Kombination von strategischen und Business Insights mit den neuesten analytischen Techniken helfen wir unseren Klienten, aus Daten maximalen Nutzen zu ziehen und kritische Probleme datengetrieben zu lösen. Ihre Aufgabe: Sie entwickeln als Spezialist mit Hilfe von Advanced-Analytics-Methoden Lösungen für die herausfordernden Problemstellungen unserer Klienten – von der Konzeption über die Modellbildung bis zur Übergabe in die Implementierung.

Senior Software Engineer - Data and Optimization at Zalando SE (Hamburg, Germany)

As Zalando transforms from Europe’s leading e-commerce company into a multi-service platform for fashion, this is an exciting time to join us. As [insert job title], you’re part of a high performing team, building technologies that connect every part of the fashion industry. We live Radical Agility, a methodology built on trust and backed by an architecture that lets us move fast while keeping complexity low. Open Source and InnerSource development is integral to our engineering practices and culture, supported at every level.

SQL Engine Developer to work on Flink SQL API at data Artisans (Berlin, Germany)

Data stream processing is redefining what’s possible in the world of data-driven applications and services. Apache Flink is one of the systems at the forefront of this development, pushing the boundaries of what can be achieved with data stream processing. 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. Flink is also one of the most active and fastest-growing open source projects in the Apache Software Foundation.

Senior Data Scientist - Pricing & Forecasting at Zalando SE (Berlin, Germany)

THE OPPORTUNITY Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Forecasting is at the core of our commercial operation. Forecasting tools help to determine how much of each product to buy, to recommend the best prices, and to ensure that we have the right level of logistics capacity to fulfil customer demand.

Data Platform Architect - (Java or Scala & Hadoop) at Zalando SE (Berlin, Germany)

The opportunity Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics, to big brands, to manufactures - we’re building the platform that connects all people and parts of the fashion ecosystem. As a Data Platform Architect at Zalando, you will be responsible for building, scaling and architecting one of the largest big data platforms in ecommerce. You will develop big data solutions, services, and messaging frameworks to help us continuously process our data faster and more efficiently.

Principal Data/Data Science Engineer - IoT Tracking products (m/f) at HERE (Berlin, Germany)

About HEREHERE is a leader in navigation, mapping and location experiences and our technology is used in many places. If youve ever checked in on Facebook, youve used HERE. Or, if you have in-car navigation, youve probably had our help getting where youre going -over two thirds of the worlds cars, from Ford to Ferrari, use our software. And every time you receive a package from Amazon or FedEx, weve helped guide it to your door.

BI Engineer (Java, C++, AWS & Spark) at Zalando SE (Hamburg, Germany)

You Are Ready To Make An Impact Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. As a BI Engineer at Zalando Media Solutions within the Reporting and Data Infrastructure team, you will be responsible for creating and improving engaging reporting solutions, together with our Product Managers. We live Radical Agility, a software development methodology that allows you to get work done while management keeps their distance. Along with our guiding set of principles – Autonomy, Mastery, Purpose – we entrust you to be the one changing the world’s opinion of tech and fashion in Europe.

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

Delivery Hero is building the next generation global online food-ordering platform. Our awesome international team already operates in over 40 countries worldwide to ensure hungry customers get to their favorite takeaway food the fastest way possible. The company has grown from its inception in 2011 to become the world’s largest food-ordering network. This is an exciting time for Delivery Hero with a huge and rapid amount of growth in countries, market size and opportunities.

Data Engineer, Business Intelligence - Turning trips into amazing experiences! at GetYourGuide AG (Berlin, Germany)

We are looking for a DataEngineer to help make the vast amount of data we produce organized and valuable so everyone in the company can make great decisions through insights. You will work on data pipelines, data storage, analytics tools, data quality and more.  About GetYourGuide: With 400+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travelers find and book things to do and explore their destination.

Data Scientist - Payments at Zalando Payments SE & Co.KG (Berlin, Germany)

You Are Ready To Make an Impact At Zalando Payments, we are processing all financial transactions of Zalando’s fashion store and other consumer facing apps. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, we cover the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering. You Are Setting Standards

Senior Big Data Engineer (Hadoop/Spark) at The ADEX GmbH (Berlin, Deutschland)

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a YARN/Hadoop cluster of more than 60 machines. In the next phase of development, we are planning to re-design more parts of our Big Data system to make them work in real-time. This will involve the usage of some cutting-edge technologies and also the challenge to extend the on-premise cluster to the cloud.

Team Lead (m/f) Data Engineering Premium Network at XING SE (Hamburg, Deutschland)

XING is the social network for business professionals with millions of members all over the world. Help us shape the future - for a better working life! We currently have an opening at our headquarters in Hamburg. The Premium Services team consists of around 40 people all working to support our Premium customers and their daily (working) lives. The product teams work together with the Business Development department to develop and realize new ideas for our Premium membership.

Machine Learning Engineer (f/m) at BMW Group (München, Deutschland)

Tasks:  In the core processes of our business divisions, large data volumes are created on whose basis our “Big Data, Machine Learning, Artificial Intelligence” department optimises processes that increase product quality and develops new products and services. As part of your role as a Machine Learning Engineer, you will process data and provide them to end-to-end projects and use cases. For this purpose, you will specify the requirements from use cases in collaboration with specialist departments and data scientists and will subsequently develop suitable IT solutions together with further partners in agile projects.

Big Data Engineer for Autonomous Driving (f/m) at BMW Group (München, Deutschland)

We are offering you an interesting and challenging role as a Big Data Engineer (f/m) contributing directly to the development of algorithms in the field of autonomous driving. Data-driven software solutions are at the core of the autonomous driving project, serving agile feature teams that develop sophisticated algorithms for environment perception, situation analysis and driving strategy selection. As a (Senior) Big Data Engineer (f/m) you will contribute your ideas and knowledge in designing and implementing solutions for ingestion, storage, retrieval and analysis of data from test vehicles that is used to train machine learning models as well as for functional validation.