Once here you will As a Data Scientist, you have the opportunity to have a major impact on our data landscape and help us leverage the latest technologies to create an efficient data-driven FinTech productWork closely with the core backend engineers and other data scientists to design and maintain scalable data models and pipelinesDesign scalable, performance algorithms to provide better and more intelligent user experiencesPerform extensive exploratory data analysis and see beyond just the obvious data to provide valuable insights from user behaviour and transactional dataWhat you will bring along
At 1plusX you will work on a predictive data management platform that generates valuable insights for our broad customer base. You will work on problems like how can web-scale data sets be ingested and processed with low latency?how should the data be stored and organized to enable fast experimentation and new features?how can the data be leveraged to create better insights for our users?Specifically, you will be evolving and optimizing existing data processing systems.
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
Senior Expert Data Engineering (m/w) (Köln) › OBI next Mit „OBI next“ am Standort Köln hat OBI als Nr. 1 unter den Bau- und Heimwerkermärkten eine innovative Geschäftseinheit gegründet und mit einer wichtigen Mission ausgestattet: die Transformation in ein neues, kundenzentrisches sowie kanalübergreifendes Geschäftsmodell. Dafür bietet OBI next ein einmaliges Arbeitsumfeld, in dem die Stärke eines Großkonzerns mit der Agilität und dem Spirit eines Startups kombiniert wird. Du gestaltest und regelst die Datenströme auf unserer Customer Experience & Analytics Plattform.
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
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
To support our ambitious growth, we are now looking for Data Engineers (M/F/X) in Munich starting as soon as possible. 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 our product development teams consume dataYou consult and support the data platform users in creating high performant data-driven analysis or applicationsYou are responsible for establishing a Data Catalogue: registering and documenting ingested, stored and processed data Through your daily work and projects, you contribute to the overall success of the team, product and companyYour Profile – Ready to hop on board
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.
ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Recruiter Name, E-mail: Rebecca Moore, email@example.com 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.
Would you book a hotel without knowing anything about it? Neither would we! Here at trivago, we want to provide our users with the best and most relevant information to help them find the ideal hotel. To achieve this, we build highly scalable data pipelines in AWS to collect data about millions of hotels. We are looking for experienced, entrepreneurial Software Engineers to help build and maintain our data pipelines and deliver data to our internal teams.
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.
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.
What does it mean to work with us? SUCCESS: Sixt is an IT company with a very large car pool. Our inhouse development team is the driving force behind the Sixt software which enables and optimizes the daily work of more than 6,000 employees in over 100 countries. We shape the future of mobility through innovation by using modern technologies! SPEED: Flat hierarchies and short decision paths enable us to be extremely dynamic and always one step ahead.
SPRING is responsible for over 60 products from more than 25 Brands and some of Europe’s biggest news sites including BILD.de and WELT.de. Over 350 people at SPRING are working on an innovative media platform to make quality journalism accessible for everyone. We are providing a great user experience on both sides – for readers and journalists, connecting them with the newest technologies. Together with BILD.de and WELT.de we are reaching more than 20m users every day and our data pool is growing constantly.
We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, MapReduce, 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!
Yelp’s data mining engineers are a passionate and diverse group of engineers who can work across disciplines to build incredible data-driven products. We are responsible for the whole stack: scoping the problem by digging through data with Redshift and Jupyter, researching and developing potential algorithms and approaches, training and tuning a model, and finally scaling it to millions of users, businesses, and advertisers. On the User Location Intelligence team, our mission is to reliably handle the industry’s best user location data.
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 – help more than 8 million people around the globe to keep learning new, exciting things each and every day. In 2017, our app was named by Apple as one of the very best in the App Store.
Market research is the original data driven business. Incubated and spun-off from a university, we have earned the trust of the world´s biggest companies and leading brands - for more than 80 years. Today, everything at GfK starts and ends with Data and Science We are proud of our heritage – and our future: Currently we’re on a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by cutting edge technology.