Posts List

Principal Data Scientist (m/f/d) at FlixBus (München, Germany)

To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/d) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board

Data Lake Engineer (f/m/d) at Raiffeisen Bank International AG (Wien, Österreich)

Are you ready to be a unicorn and being part of the team that builds RBI’s next generation data lake for a living analytic Eco-system? Join us being part of something big and innovative.As Data Engineer you will act hand in hand with data scientists, big data architects and data consumers across CEE to plan and execute data integration. You will be in charge for data definition and the mapping from raw data to final data products running on the Data Lake Eco-system.

Data Engineer Analytics / Business Intelligence (m/f/d) Hamburg at Signal Iduna Gruppe (Hamburg, Deutschland)

The SIGNAL IDUNA Group has been one of the top service insurers in Germany for many years. After the implementation of the new IT strategy in the last 2 years, Signal Iduna’s IT is in an exciting phase. The foundations and structures for the next level of digitization have been laid and are now being consistently implemented in the development of modern services with state-of-the-art technologies. A ‘Data Analytics Expert Team’ is being set up within the IT department ‘Business Intelligence’ to deal with the strategic topic of data management/big data and analysis.

Big Data Engineer (w/m/d) at ADITION technologies AG (Freiburg im Breisgau, Deutschland)

Weiterentwicklung der Echtzeit Datenverabeitungsstrecke vom Log bis zum Report in der täglich 2TiB an Logdaten verarbeitet werdenNeuentwicklung des Reportingsystems auf Basis von Hadoop, um ADITION Ad-Serving noch schneller und robuster zu machenEvaluierung und Mitentscheidung bei der Auswahl von neuen TechnologienEnge Zusammenarbeit mit unseren Ops-Team zur Überführung von neuen Funktionen in den Livebetrieb (Continuous Integration)Analyse und ständige Verbesserung bestehender SystemeDein Profil Abgeschlossenes Studium in Informatik oder eine vergleichbare AusbildungErste Erfahrung mit mindestens einer Programmiersprache der JVM, idealerweise ClojureSicherer Umgang mit Linux auf ShellIdealerweise Erfahrung mit NoSQL (Aerospike, Cassandra oder HBase), Echtzeitdatenverarbeitung (Storm, Spark) oder MySQLTeamfähigkeit, Kommunikationsstärke und Neugierde Link: https://aditionag.

Data Engineer (m/f/d) at navigance GmbH (München, Deutschland)

DATA ENGINEER (M/F/D) For our site in Munich Dynamic Data-Driven Process Optimization Navigance, a young corporate start-up within Clariant, is seeking an experienced Data Engineer (M/F/D) to build high quality, scalable and resilient systems that power our analytics platform and data pipelines. We leverage diverse technology stacks, such as Spark, AirFlow and Hadoop to create value based on real-world industrial process data (Industrial IoT). What will you be doing? You will…

Data Engineer Location-based Services (f/m/x) at BMW Group (München, Deutschland)

What is in store for you?  - You will actively work as a Data Engineer in the planning, implementation and validation of scalable back-end solutions for data-driven location-based services. - In doing so, you will identify the necessary technical solutions and coordinate them within your own team and with other teams.  - In an international and interdisciplinary environment, you will work both on your own and together with partners.  - You will test your implementation not only through a high level of test automation and a CI pipeline, but also on real hardware and in the vehicle.

Data Engineer (m/w) for Open-Source Enterprise Data Stack at Alvary (Hannover, Germany)

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:

Software Engineer, Big Data at 1plusX AG (Zürich, Switzerland)

About the role Design and build complex data processing pipelines and data-centric systemsBuild tools and components for data ingestion and data transformationDevelop machine learning modules for various forms of data and modalitiesSystematically work towards strict metrics (performance, resource usage, reliability)Work within a talented and fast-paced team of engineersAbout you 1-3 years of experience in building large scale distributed systemsIn-depth understanding of concepts such as algorithms, networking and internet technologyDeep knowledge in Scala, Java, or C++ and Python, Bash, or PerlKnowledge of databases and messaging systems (e.

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 Scientist (m/f/x) at HelloFresh (Berlin, Germany)

At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. Now we’re the fastest growing company in Europe, active and growing in 9 different countries across 3 continents.

Software Engineer, Applied Machine Learning at 1plusX AG (Zürich, Switzerland)

About the role Create and deploy production-ready machine learning models, life-cycle managementEvaluate and assess model quality through metrics and experimentsEnd-to-end responsibility for socio-demographic predictions, audience expansions and interest inferenceWriting production code with Spark and Scala and creating advanced pipelines with LuigiWorking with git on github, various services on AWS, Jira and Confluence with an agile software development cultureAbout you Deep knowledge in Scala, Java or C++ and strong skills in either Python or BashExpertise in using Spark, Hadoop, etc.

(Senior) Data Engineer - Geo Information Systems (m/f/d) at FlixBus (Berlin, Germany)

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.

Data Engineer (m/f/d) - Analytical Databases at Smaato (Hamburg, Germany)

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.

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.

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.

Senior Data Engineer (m/f) at SumUp (Berlin, Germany)

About SumUp Sumup is a successful and fast growing company that operates in many countries and empowers merchants to accept card payments in an easy and convenient way and wake up the entrepreneur within anyone. At the beginning of 2018 we were named the fastest growing company in Europe and we won’t stop there. Already we operate in over 30 countries, with new countries added every year on our path to become the first global card acceptance company in the world.

Senior Data Engineer at the leading data-driven travel advertising platform! at travel audience GmbH (Berlin, Germany)

Join our Data Team as Senior Data Engineer! As an AdTech company, data is at the core of everything travel audience does. By joining us, you will find ways to solve complex technical challenges which directly impact our business and play an integral part in helping us become the world leader in the travel advertising domain What will you do? Be part of a team responsible for the design, development and maintenance of our data processing streaming pipelines in Google Cloud Dataflow developed using Spark.

Data Infrastructure Engineer (m/f/d) at FlixBus (Berlin, Germany)

Your Tasks – Paint the world green Holistic cloud-based infrastructure automationDistributed data processing clusters as well as data streaming platforms based on Kafka, Flink and SparkMicroservice platforms based on DockerDevelopment infrastructure and QA automationContinuous Integration/Delivery/DeploymentYour Profile – Ready to hop on board Experience in building and operating complex infrastructureExpert-level: Linux, System AdministrationExperience with Cloud Services, Expert-Level with either AWS or GCP  Experience server and operation-system-level virtualization is a strong plus, in particular practical experience with Docker and cluster technologies like Kubernetes, AWS ECS, OpenShiftMindset: “Automate Everything”, “Infrastructure as Code”, “Pipelines as Code”, “Everything as Code”Hands-on experience with “Infrastructure as Code” tools: TerraForm, CloudFormation, PackerExperience with a provisioning / configuration management tools (Ansible, Chef, Puppet, Salt)Experience designing, building and integrating systems for instrumentation, metrics/log collection, and monitoring: CloudWatch, Prometheus, Grafana, DataDog, ELKAt least basic knowledge in designing and implementing Service Level AgreementsSolid knowledge of Network and general Security EngineeringAt least basic experience with systems and approaches for Test, Build and Deployment automation (CI/CD): Jenkins, TravisCI, BambooAt least basic hands-on DBA experience, experience with data backup and recoveryExperience with JVM-based build automation is a plus: Maven, Gradle, Nexus, JFrog Artifactory Link: https://www.

Data Infrastructure Engineer (Linux, AWS, Kafka, Kubernetes) - (m/f/d) at FlixBus (Berlin, Germany)

Your Tasks – Paint the world green Holistic cloud-based infrastructure automationDistributed data processing clusters as well as data streaming platforms based on Kafka, Flink and SparkMicroservice platforms based on DockerDevelopment infrastructure and QA automationContinuous Integration/Delivery/DeploymentYour Profile – Ready to hop on board Experience in building and operating complex infrastructureExpert-level: Linux, System AdministrationExperience with Cloud Services, Expert-Level with either AWS or GCP  Experience server and operation-system-level virtualization is a strong plus, in particular practical experience with Docker and cluster technologies like Kubernetes, AWS ECS, OpenShiftMindset: “Automate Everything”, “Infrastructure as Code”, “Pipelines as Code”, “Everything as Code”Hands-on experience with “Infrastructure as Code” tools: TerraForm, CloudFormation, PackerExperience with a provisioning / configuration management tools (Ansible, Chef, Puppet, Salt)Experience designing, building and integrating systems for instrumentation, metrics/log collection, and monitoring: CloudWatch, Prometheus, Grafana, DataDog, ELKAt least basic knowledge in designing and implementing Service Level AgreementsSolid knowledge of Network and general Security EngineeringAt least basic experience with systems and approaches for Test, Build and Deployment automation (CI/CD): Jenkins, TravisCI, BambooAt least basic hands-on DBA experience, experience with data backup and recoveryExperience with JVM-based build automation is a plus: Maven, Gradle, Nexus, JFrog Artifactory Link: https://www.

Senior Data Scientist (m/f/d) IoT device data at Conrad Connect GmbH (Berlin, Germany)

These tasks are waiting for you: Be the professional lead for our data team Obtain actionable business-oriented insights from processed IoT data Identify and explore opportunities to apply machine learning algorithms and guide their development from initial testing to their final user-facing application Communicate and collaborate with the digital marketing, business development and product development teams in a high pace environment Processing and aggregation of terabytes of raw near real time/real time IoT data Maintenance, expansion, and optimization of existing data pipelines (ETL/ELT)Qualifications: