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.
Once here you will Mentor, lead and grow a team of data engineers that is responsible for building and maintaining Data Warehouse and Data Lake at N26.Shape the vision of how Data infrastructure at N26 evolves.Work closely with data analysts/data scientists and other groups to implement new ETL pipelines.Dive into the company’s data to analyze it, find patterns and play around in other ways.Working with other teams to support various Data needs of the company.
For you it’s a leap in your career, for us it’s the future of finance! Founded in Berlin in 2014, finleap is Europe’s number one Fintech ecosystem. We are renowned for our fast execution in building successful, innovative and market-changing Fintech companies. Combining entrepreneurial execution, technological capabilities and diverse talent from over 60 different countries, finleap continuously challenges the status quo to reshape the way technology impacts the financial market. With 14 established ventures and new ones being launched each year, we have a wide variety of opportunities.
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.
Moin! Wir sind das IT-Team von uptain, bestehend aus einer Frontend- und einer Backend- Entwicklerin, sowie einem Head of IT. uptain ist ein wachsendes Software-Start-Up aus dem schönen Hamburg. Wir entwickeln innovative Lösungen für die Rückgewinnung von Kaufabbrechern für Online-Shops. Wir haben uns in den letzten zwei Jahren zu einem der am häufigsten genutzten Kaufabbrecher-Tools im deutschsprachigen Raum entwickelt. Wir sind Venture Capital finanziert und arbeiten mit Kunden wie myRobotcenter, Ankerkraut und 11Freunde zusammen.
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.
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.
Senior Data Engineer (m/f) FULL TIME Berlin, Deutschland With Professional-Experience Are you up for a successful “Grown-Up” headquartered in Berlin-Friedrichshain? smava is one of the biggest fintech employers and has received several awards, including the price for Innovator 2019 and the Top Employer 2019. Our company grows by 80 percent each year – become part of the smava story now! And let us grow together. We are, smava – the online credit comparison.
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
Who we areThis 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 10 million people around the globe to keep learning new, exciting things each and every day.In 2017, we received the United Nations World Summit Award in the Learning & Education category, a Google Material Design Award for Brand Expressiveness, as well as an Android Excellence Award.
An exciting task is waiting for you: As a Junior or Senior Data Engineer (m/f/d) you will have the chance to become part of a fast-growing team in an early stage. You will improve and extend the current Data Platform in AWS that enables other teams to make data-based decisions based on that. You will also build Data Products in cross-functional teams together with Software Engineers and Data Scientists in order to automate operative processes backed up with intelligent algorithms which allow the company to grow in a scalable way.
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.
ABOUT THE TEAM Department: Zalando Lounge Reports to: Engineering Lead Team Size: >5 Recruiter Name, E-mail: Rime Asselman, firstname.lastname@example.org 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.
Your Tasks – Paint the world green You are part of an agile, self-organized, cross-functional development team owning the charter domainYou make sure that the data infrastructure is optimalYou work closely with business analysts to help them to achieve their goals by delivering suitable technical solutionsYou help to establish and maintain an efficient data communication between different teams and distributed systemsYour Profile – Ready to hop on board Several years of experience as Data Engineer, BI Engineer or Software EngineerAdvanced knowledge of SQLSolid experience withData warehousesSQL query tuningETL / ELTData modellingExperience with technologies like Kafka, Redshift, Power BI and similar is a plus.
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.
As part of the Hotel Search team, you will shape the future of trivago’s main product to help our users to find the ideal hotel. You will join one of our agile engineering teams of smart, motivated and curious people and work on our AWS platform to deliver the best and most relevant data to our millions of users and other trivago teams by utilising modern technologies like Apache Kafka, Kinesis, Redshift and Hadoop.
Tamedia is the leading private media group in Switzerland. The digital platforms, daily and weekly newspapers and magazines of Tamedia offer overview, classification and selection. The company was founded in 1893 and employs a staff of approximately 3,400 in Switzerland, Austria, Denmark, France, Germany, Israel, Luxembourg and Serbia. It has been traded at the Swiss stock exchange since 2000. We decided for an “all in” approach to AWS, meaning that at Homegate all new services and features are built on AWS.
Who we are 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 10 million people around the globe to keep learning new, exciting things each and every day. In 2017, we received the United Nations World Summit Award in the Learning & Education category, a Google Material Design Award for Brand Expressiveness, as well as an Android Excellence Award.