What we’re looking for: Enthusiasm for working in a high-profile startup culture. We ship updates quickly, on tight schedules, with large volumes being processedPolyglots welcome: We use Typescript for most everything, but experience with typical back-end programming languages and no fear of typing is fineExperience with various ETL processes, and data lake management & structuringExperience with API design (Swagger, Contracts, etc)Understanding of infrastructure as codeExperience with third-party API’sSolid understanding of testing, continuous integration and deploymentExperience in Agile software development: Git, Jira, etc.

Within Zalando’s Digital Foundation unit you are going to work in the core of Zalando’s data infrastructure. Your work will focus on the implementation of the data transformation architecture that is going to become the backbone of the analytical data platform at Zalando. WHERE YOUR EXPERTISE IS NEEDED Work within Zalando’s central data team that is responsible for mission-critical services for the whole Zalando groupDesign and build the service that will serve analysts, data engineers and machine learning pipelines all over ZalandoBuild the Zalando Spark platformHelp migrate the existing data pipelines to the next levelWHAT WE’RE LOOKING FOR 

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and, with more than 8.5 million users and 50,000 five-star reviews - komoot is on its way to become one of the most popular cycling and hiking apps.

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.

YOUR TASKS: Help internal clients with pragmatic strategic & ad-hoc data requirementsWork closely with data scientists and engineers to build personalized experiences for our usersDrive research initiatives to innovate and support our data driven approachPerform data extraction, aggregation from multiple sources, including Google Analytics / GoogleBigQueryCreate confidence in our data by tests, automation, monitoring and neat visualizationsYOUR PROFILE: You are eager to learn new technologiesYou are able to transform solutions into code (Scala is a plus)SQL Basic skillsDevops mindset is a plusClear understanding of Map/Reduce paradigm.

Job ID: 121061 Location: Nürnberg Organisation: Portfolio Companies Mode of Employment: Permanent / Full-timeKnowledge for the world of tomorrow.Digital Business is an innovative business for the drive system portfolio of Large Drive Applications. In center is the acquisition and use of drive system data from the field as well as corresponding virtual data and data models from R&D and engineering. With the new innovative brand SIDRIVE IQ the Large Drive Applications Digital Business-team works on the future of drive systems today.

Homegate is the leading digital real estate classifieds platform in Switzerland, with more than 8 million visits per month and more than 100’000 properties currently on offer. Our mission is to empower Switzerland’s decisions around real estate. We help people find their best place to live and support them throughout their journey. Do you want to become a part of a company with a strong mission and an open-minded work culture?

Smaato’s Data Science team is looking for a Senior Data Scientist who is experienced in building intelligent systems and cloud based machine learning solutions using a data volume that easily reaches a multi terabyte scale. Why? Our cutting edge platform is processing an average of 20 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners, which results into more than 12 terabytes of data running on our platform each day.

As part of our Business Intelligence Team, you will support us in developing and optimizing our pricing algorithm in times of sales campaigns & seasonal price reductions. Every day, millions of people all over Europe enjoy shopping at our online shop & enjoy getting inspiration for brand new styles - even better if there’s a nice sale campaign running! Our goal is to determine the most intelligent price based on various variables and business models.

Your Tasks – Paint the world green You will be part of a self-organized, cross-functional team in the marketing domainYou will work with your team to decide on and improve the data architecture (from data extraction, preprocessing, and isolation) to support the Marketing Intelligence projectsYou will ensure that more than 100 employees in the Marketing Department can monitor their campaign performance on a daily level by providing the right data in the right wayYou will support the team to productionize data-intensive products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work with business and technology stakeholders to evaluate data sources, techniques, and tools teams on solutions for data-driven decision makingYour Profile – Ready to hop on board

Are you looking for an opportunity to build a cutting-edge data products? We are ramping up our data team to support and scale Zalon’s machine learning, analytics and business needs. To do so we are looking for an analytical problem solver that likes to work in an agile and cross-functional team with the challenge to shape, build and refine the future of the company’s data quality for our services together with the integration of machine learning algorithms.

As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting. We believe that a>About your new role Develop and operationalize machine learning modelsSupport our product development teams in solving specific product problems using machine learningImplement>Skills & RequirementsYou have demonstrated your passion for machine learning, analytics, and statistics in previous projectsYou can prove strong hands-on experience with programming in Python (experience with the PyData stack is a plus)You have worked with distributed computing frameworks and deep learning algorithms (feed-forward, CNNs, RNNs) and cloud servicesYou have a solid understanding of good practices in software engineering, like pair programming, testing, clean codeYou are fluent in EnglishAt idealo you can expect

solarisBank is the world’s first banking platform. Our goal is to empower finance pioneers - anyone who wants to build something new with banking services. The core of the company is fast, modern technology that makes our banking services quick to setup and simple to build with. We see ourselves as a tech company with a full banking license. Our international team of 180+ colleagues combines digital focus, tech expertise and banking experience.

solarisBank is the world’s first banking platform enabling businesses to create custom solutions for their financial needs. The core of the company is a fast and modern technology which makes our banking services quick to setup and simple to build. With a full EU banking license, we combine agile engineering with the regulatory expertise of a fully licensed bank.  By combining digital focus, tech expertise, and banking experience we enable our partners to offer various digital financial services to their end-consumer.

We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, Spark, and streaming solutions to power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses. If you’re the person who leads their team in replacing an aging system, or dives fearlessly into the guts of a running system to fix that bug everyone else is happy to gloss over, then you’re the one we’re looking for!

As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting. We believe that a data-driven approach is a key success factor for our business. Therefore we aim to enable our technical and non-technical internal customers to base their everyday business decisions on hypotheses that are proved by data. We are looking for a Data Scientist highly passionate about developing and operationalizing machine learning models.

Once here you will Drive the development of highly scalable Data Warehouse and Data Lake at N26.Work closely with data analysts/data scientists and other groups to support them with various tasks and implement new ETL pipelines.Dive into the company’s data to analyze it, find patterns and play around in other ways.What you will bring along At least 3 years of experience in Data Engineering or related fieldsStrong knowledge of big data technologies and frameworks (Spark, Parquet, ORC, Hive, Drill, Impala, Presto, etc.

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.

ABOUT THE TEAM Department: Zalando Lounge Reports to: Engineering Lead Team Size: >5 Recruiter Name, E-mail: Rime Asselman, rime.asselman@zalando.de As a Senior Data Engineer, you will be working with Analysts, Data Scientists and Product Managers across the business to design and implement processes that extract, transform, and load data, working with live data streams, managing and optimizing the data warehouse, and deploying machine learning models.   WHERE YOUR EXPERTISE IS NEEDED Develop, implement and maintain sustainable, high-performance data-processing and data integration pipelines using relational/columnar databases and ETL tools.

As a Machine Learning Engineer (m/f/d) at Smaato you build the interface between the Data Scientists and Data Engineers, working mostly with TensorFlow, Python and AWS Sagemaker to translate state-of-the-art algorithms from proof-of-concept stage to production-ready solutions. Due to our cutting edge platform processing an average of 20 billion inbound advertising queries per day, and each of these incoming requests generate multiple outbound requests to our partners, we are talking about more than 12 terabytes of data running on our platform daily.