data-science

SIGNA Sports United

<div><section><div><p></p><h2>Company Description</h2></div><div><p>SIGNA Sports United (“SSU”) is a NYSE (New York Stock Exchange) listed specialist online sports retail company based in Berlin, Germany. We own companies and brands in various sports including bikes, tennis, outdoor and team sports. We sell equipment and apparel via our 100 own online stores, collaborate with 500+ independent brick and mortar shops, and partner with over 1000 sports brands. Together we serve 7+ million customers around the world.</p><p><strong>Job Objective</strong></p><p>As a Data Engineer, you are responsible for leveraging and preparing data for analytical and functional purposes, e.g. standard business reports, real-time IoT or business process automation.. Your work will support our data scientists, business and data analysts as well as product developers by providing efficient data pipelines and outstanding data quality.. Since you enjoy data wrangling, building pipelines and being creative, this role gives you the opportunity to realise your potential for designing and configuring modern pipelines and dataflows. You enjoy self-managed and self-directed work as well as presenting your results to various levels within the organisation. You will be part of the team responsible for defining, leveraging and maintaining a future-proof data infrastructure for the entire organisation, using state-of-the-art technologies as well as developing tailored solutions. You will also play a part in cross-functional project teams that define, describe and realise business use cases.</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><ul><li>Create data assets that are properly authorised and leveraged group-wide.</li><li>Develop and maintain high-end data pipelines end-to-end.</li><li>Develop and provide proper interfaces and APIs.</li><li>Monitor and improve data quality pro-actively in-line with the applications of business use cases.</li><li>Identify automation potentials within the provisioning process. Design and re-design data architecture to create a scalable and flexible tech-stack which satisfies customers’ needs.</li><li>Challenge the status-quo and provide new solutions and insights into business process flows.</li><li>Ensure system and data security across all our data sources with an AWS-centric approach.</li><li>Work in expert and cross-functional teams.</li><li>Build analytical tools to test and maintain the quality of data pipelines in order to achieve great usability, customer acquisition and operational efficiency.</li><li>Contribute to the setup of a group-wide high-performance lightweight data infrastructure.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li>Profound knowledge of a variety of databases with advanced skills in SQL and related</li><li>methodologies in relational and non-relational databases</li><li>Demonstrated experience in DevOps as well as DataOps methodologies. In particular,</li><li>deployed and run an Exasol data warehouse</li><li>Stream processing in order to provide real-time analytics for i.e. reporting, audit and IoT analytics</li><li>BSc/MSc in computer sciences, mathematics, natural sciences or similar</li><li>5+ years of experience working in provisioning data pipelines and leveraging a variety of data transformations for various applications</li><li>Hands-on mentality and the ability to translate requirements into action</li><li>Outstanding analytics skills: identify root causes at their true core as well as a strong</li><li>comprehension towards business fields in order to meet the customer needs</li><li>Profound knowledge in data integration solutions as well as methodologies</li><li>Nice to have skills:<ul><li>Experienced in AWS services like EC2, S3, EMR, RDS, Redshift Lamba, etc. and/or Google Cloud Services</li><li>Experienced in analogous services and products to AWS.</li><li>Experienced in workflow tools as well as the deployment of the pipelines.</li><li>Strong skills in project management and communication as well as the ability to understand organizational relations</li></ul></li><li>Passion for Sports and Tech is very welcome :)</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p>We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on qualifications, merit and business need. We at Signa Sports United believe that our team-spirit burns brightest when we're together. We also believe in flexible working models. As such, we provide a place for you to come, work and collaborate in any of our offices in the country you are employed in. And of course, you can work from home if needed.</p></div></section></div>

Senior Data Engineer - Exasol (f/m/d) Germany

remote

15 days ago