Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou! We are looking for adventurers to join our smart and inspiring team! TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. And it’s our data engineers that make this happen!
BI Platform team at GoEuro is responsible for maintaining the engineering infrastructure and data platform for business intelligence, reporting and analytics with a vision of making GoEuro a truly data driven organization. We are searching for a Data Engineer with in-depth skills in distributed data processing and big data technologies and experience in writing complex data pipelines that process terabytes of data per day. As a data engineer, you will get the opportunity to shape the future of data-driven decision making at GoEuro by enabling the BI analysts, data scientists, product owners and other stakeholders to draw insights from our data.
To strengthen our international team in Berlin, we are offering a full-time position as Engineering Manager, Data (m/f) Retailers face unique challenges - we support them with technology-led solutions. Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Harrods). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.
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
This is a key role within our Data & Analytics team and gives you the opportunity to build a world-class Data Landscape for Scout24. This is ideal for someone with strong focus on cloud-based data technologies, good service and DataOps orientation, and loves to build data-driven business. You will be involved in working with huge amount of data, cutting-edge technologies and working with some of the most influential and impactful data projects in Germany.
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.
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.
As an Engineering Lead team at Zalando Payments you and your team build and operate production grade machine learning systems, focused on supervised learning, which have a profound impact on our business. WHERE YOUR EXPERTISE IS NEEDED Lead others through complex, distributed systems, and understand the principles of highly available, scalable, maintainable and performant servicesEncourage individuals to grow their skills and capabilities through discovering and following their passion and purposeFacilitate collaboration and decision-making between different engineering teams and stakeholders and drive projects towards the realization of company goals.
Your role Data engineers are the central productive force of PriceHubble. 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.
To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) 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
FlixBus – A place to enjoy work and have an impact To support our ambitious growth, we are now looking for Data Engineers (M/F/X) for our Network Planning Domain in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You will be part of a self-organized, cross-functional team owning the network planning web application and will hence directly contribute to the success of the core business.The mission of the team is to work on a tailor-made planning software, which enables the user to create high-quality schedules that are demand-oriented and cost-efficient.
ABOUT THE TEAM Department: Merchant Operations Reports to: Engineering Delivery Lead Team Size: <5 Recruiter Name, E-mail: Iulia Crai, email@example.com As Data Engineer in the Merchant Operations team you will build the data warehouse for marketplace and processing big amounts of raw data. You work closely with key stakeholders in product, engineering and operations to form deep understanding of marketplace dynamics WHERE YOUR EXPERTISE IS NEEDED Own, design and organise all data flows from scratchInvolve product and engineering to integrate various sources of dataDevelop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trendsAutomate and own the end-to-end process of modelling and data visualization.
What you can expect in this role In a dynamic Scrum team you implement user stories on our Data platform (Spark, Exasol, Tableau)You are developing a data integration framework in Scala, which is used by several development teamsYou will also work with business experts to design new data solutionsThe automation of development and quality assurance processes in the project is also in your area of responsibilityYour essential experience and education
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.
What you can expect in this role As Big Data Architect you are responsible for the evolution of our big data platform landscape, based on technologies like Spark and ExasolLeading a team of experts, you will answer the design of our data integration framework (written in Scala) which is used by several teams of developersTaking care of nonfunctional requirements you will contribute to the outstanding end user experience of our solution platformYou will have the creative leeway to explore new possibilities brought about by technology to make the best use of our media data.
ABOUT THE TEAM Department: Personalized Marketing Reports to: Data Engineering Lead Team Size: 5-10 You’ll join the Data Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activitiesBuild applications and services to integrate data from internal and external sources, especially to ensure a better cross-device recognition of customers or to increase the tracking data quality, an essential source for our marketing campaign performance measurementClose collaboration with our product managers to define realistic roadmaps and products that will be successful in productionSupport 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 productionWHAT WE’RE LOOKING FOR
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
We are searching for resourceful and innovative Senior Data Engineer to join our fast-growing team in Berlin. You will be working with terabyte-scale quantities of data in near real-time, producing efficient, fault-tolerant and industrialised pipelines. You will work with a cross-functional team, closely collaborating with data scientists and analysts. 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
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.
We are offering you a challenging role as a Senior 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. In your role 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.