To support our ambitious growth, we are now looking for a Data Engineer (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will 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 drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board

As a Data Engineer at FINEWAY, you’ll be responsible for building & maintaining fast, accurate, robust & scalable data-processing services to shape the future of travel. This includes: Designing, implementing & maintaining batch, near time & real-time data-processing pipelines & analytical workflows.Optimising processes at code, memory & architecture level.Building fault tolerant, adaptive & highly accurate data pipelines.Reviewing your peers’ designs & code to ensure quality.Developing in an event-based micro-services architecture.Job Requirements

CARFAX Europe is the leading vehicle history data company within the European market CARFAX is acquiring and processing data related to vehicles from various sources. You will be responsible for building applications around these extensive data sets. The applications are used both internally to support data analysis, as well as externally, providing value to our customers in form of reports, risk evaluations, trends and other visualizations. Currently, we are in the process of modernizing our architecture so we can keep growing and fulfill our service-level agreement in terms of reliability, response time and throughput.

CARFAX Europe is the leading vehicle history data company within the European market CARFAX is acquiring and processing data related to vehicles from various sources. You will be responsible for building applications around these extensive data sets. The applications are used both internally to support data analysis, as well as externally, providing value to our customers in form of reports, risk evaluations, trends and other visualizations. Currently, we are in the process of modernizing our architecture so we can keep growing and fulfill our service-level agreement in terms of reliability, response time and throughput.

We, at Scout24, are building a completely new team dedicated to market analytics and Data product development. Therefore, we search a Data Scientist to drive forecasts and user classification. You will have the opportunity to work with a group of highly motivated team members in a cross-functional setting together with Data Analysts and Engineers. This is a key role, to successfully develop new products and solutions for our Scout24 customer base and to generate immediate revenue impact.

This ad goes out to all those who want to find a purpose in what they’re doing and take accountability for their work. At Blinkist, we’ve created a meaningful product that is growing fast. Our blinks – key insights from the world’s best nonfiction – inspire more than 8 million people around the globe to keep learning new, exciting things each and every day. Why do we need you? Our data stack has always been a core column of our business success.

Your tasks Influence. Innovate our cloud-based big data architecture and technology adoption to improve system scalability, utilization and costScout. Always seek for leading-edge solutions and assess viability for our technical designTechnical Design Lead. Impact the design of new platform features in terms of data models and workflowsReview. Regularly review and challenge our cloud-based big data platforms and architectureKeep us lean. Influence how we code by setting best practices for writing efficient and maintainable codeYour skills

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

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.

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

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

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.

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.

To support our ambitious growth, we are now looking for a Data Engineer (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will 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 drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board

ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs. WHERE YOUR EXPERTISE IS NEEDED Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR

The Role: We are looking for a full-time data engineer. You will be at the core of making people’s data work for them. You will design and maintain the ETL data pipeline—from pulling and parsing data from various APIs and downloaded data stores to populating normalized RDBs and calculating cached views (usually in a NoSQL form) to power our various data products and services. While you are not constrained in your tools, our current stack involves Python, js/node, PostgreSQL, Airflow, AWS Lambda and hosting.

About the job As a Data Engineer at HelloFresh, you will be collaborating to build a robust and highly performant data platform using cutting-edge technologies. You will develop distributed services that process data in batch and real-time with focus on scalability, data quality and business requirements. You will have the opportunity to work on challenging data related problems, like: Design and build a world-class self-service data platformTaking end-to-end responsibility for design, build and maintenance of batch and real-time data pipelines.

Data is core to everything we do at PriceHubble. We rely on a wide variety of data from multiple sources. As a data scraper, your mission will be to source, capture and extract new datasets that help us develop cutting edge valuation and forecasting tools for the real estate market. Responsibilities: Identify and analyse new data sourcesAccess new data with whatever strategy is suitable, e.g. write web-scraping and parsing scripts,…Create new datasets and integrate them in top shape into the data pipelineDefine and implement data acquisition strategiesRequirements:

As a data engineer, your mission will be 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. These features and insights are either directly used as part of our product or as a signal in our machine learning algorithms.