Senior DataOps Engineer, Signa Sports United

• Profound knowledge of a variety of databases with advanced skills in SQL and related methodologies in relational and non-relational databases
• Demonstrated experience in deploying technical IT resources on cloud service platforms such as AWS or Google
• Profound knowledge on network architecture and the design of scalable permission schemas
• BSc/MSc in computer sciences, mathematics, natural sciences or similar
• 3+ years' experience working on CI/CD deployments of Tech resources
• Hands-on mentality and the ability to translate requirements into action
• Outstanding analytics skills: identify root causes at their true core as well as a strong comprehension towards business fields in order to meet the customer needs
• Profound knowledge in data integration solutions as well as methodologies

Desirable

• As a DataOps engineer in the SSU, you are responsible for leveraging and preparing data infrastructure for any analytical and functional purpose, i.e. standard business reports, real-time IoT or the business process automation are only some prominent examples for your work areas
• The architecture and infrastructure managed and maintained by you will support our data scientists, business and data analysts as well as product developers
• Since you enjoy data wrangling, building pipelines and are a creative person you have the great opportunity to realize your ideas of how to design and configure modern pipelines and dataflows and actively involve into engineering and design processes as well
• Organizationally, you will be part of the team which is responsible to define, leverage and maintain a future-proof data infrastructure of the group-wide organization using state-of-the-art technologies as well as developing tailored solutions
• Leverage data infrastructure and systems to every tech function group-wide
• Develop and maintain high-end data pipelines end-to-end
• Develop and provide proper interfaces and APIs
• Design tech processes in collaboration with DevOps and Network Engineers
• Migrate and consolidate data warehouse and be actively part of benchmarking systems
• Monitor and improve data quality pro-actively in-line with the applications of business use cases
• Identify automation potential within the provisioning process. Design and re-design data architecture to create a scalable and flexible tech-stack which satisfies the customer needs
• Challenges the status-quo and provides new solutions as well as insights to business process flows
• Ensure system and data security across all our data sources with an AWS-centric approach
• Work in expert as well as cross-functional teams and challenge yourself and others
• Build analytical tools to test and maintain quality of the data pipelines to achieve great usability, customer acquisition as well as operational efficiency
• The DataOps engineer contributes directly to the setup of a group-wide high-performance lightweight data infrastructure