Data Engineer (m/f/d)Join Onefootball and become a vital part of our data team by shaping our analytical infrastructure that allows us to process terabytes of data on a daily basis. Our team forms part of the cross-functional growth team that works towards providing insights and develop ML solutions for our internal customers. We ensure clear performance indicators and targets are set, and that analytical approaches dont rest in discovery but make their way into production.
The position provides the opportunity to work on a wide range of interesting topics from operationalizing deep learning models to training recommender systems on petabytes of data. As part of the data science team, you will be also given a lot of responsibilities to shape the direction of the team. If you would like to become part of this success story, please send your application. About your new roleYou will be part of the data science team and work closely with our data scientists to operationalize machine learning pipelinesYou will develop and implement effective data processing architecturesYou will also collaborate a lot with the data warehouse and data platform teamYou will participate at meetups, conferences and the research community and apply what you’ve learned back at your daily workSkills & RequirementsA deep understanding of distributed computing frameworks such as Spark (particularly SparkML, SparkSQL, tune/optimize and debug Spark jobs), Hadoop and/or FlinkExperience with big data at AWS, in particular using EMR and S3Experience with Docker and container orchestration like Kubernetes, Swarm or similarExperience with pipeline management tools like Airflow, Luigi or NiFiExperience with programming languages such as Python, Go and/or ScalaGood knowledge of SQL/RDBMSExperience with the command line, shell scripting and version control (Git)Excellent communication skills in English, both oral and written; German is nice to havePreferably experience with automatic configuration management like Terraform and PuppetPreferably experience with modern agile software development practices like microservices, test-driven development, pair programming, CI/CD etc.
Woran arbeitest du? Weiterentwicklung unseres produktiven Self-Service BI ToolsErstellung von BI Reports für alle Geschäftsbereiche, d.h. Risk Management, Compliance, Customer Support, Marketing und DatenbankmanagementErstellung von KPI Dashboards für die ManagementebeneAd-hoc Visualisierung von GeschäftsdatenOptimale Einbindung unseres Data Lakes bzw. unseres Apache Spark basierten Data Warehouses - Technologieeinsatz, Clustermanagement, Job ScheduleTransformation der performanten Rohdaten in die Business Analysis PerspektiveWer sind wir? Sportwetten-Software Entwickler der ersten Stunde mit 16 Jahren ErfahrungVorreiter im Bereich Sportwetten-Applikationen, die Triebfeder unseres GeschäftserfolgsEin Team von 35 MitarbeiternUnsere Geschäftskunden arbeiten eng und vertrauensvoll mit uns zusammen und wir verantworten das Produktmanagement mitWir betreiben hochskalierbare und performance-kritische Softwaresysteme mit hohem Transaktionsvolumen, genau wie im Logistik-, Finanz- oder TelekommunikationswesenWas bringst du mit?
We are working on sophisticated problem solving algorithms for the logistics industry. Topics like price prediction, routing and decision optimization are only a few of them. Besides decision trees and random forests we are working on a deep learning neural network to transform the trucking industry not only into the digital age but to also make it intelligent. And this is where we need additional (wo)man power for acceleration. Could this be you?
Area of responsibility The Data Scientist is responsible for designing, developing and implementing learning algorithms and analyzing big data in the health care domain. Tasks and responsibilities Participate in cutting edge research in machine intelligence and machine learning applicationsDevelop solutions for real world, large scale problemsExperiment with novel approaches, some of which might have originated from academic workWork closely with the backend engineers to design and maintain scalable data models and pipelinesRequirements
What we need from you Conceptualize and build data products based on Statistical and Machine Learning techniquesManipulate and train on heterogenous big data setsManage stakeholders in cross-functional teamsUnderstand market & business needs and come up with Machine Learning solutions to satisfy themPromote ideas and get stakeholder support to turn them into live productsStay always up to date with Machine Learning methods and technologiesSupport the team evangelizing Data Science throughout the companyWhat we need you to bring: University Degree in Computer Science or any other numerate disciplineFamiliarity with Big Data Environments (e.