Company Description
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.
Job Objective
As a Data Engineer in the SSU, you are working on the edge of what technology let’s us do. In this role, you are contributing to the generation of new business models as well as automating processes from a data perspective.
Our business field is growing and changing fast, data is one of the most important parts of the business strategy. You and your team will challenge the daily business from a process and product perspective.
You are working closely with data scientists, Machine Learning Engineer and data analysts who are providing you with high-performance data pipelines and fantastic discovery as well as business insights within a state-of-the-art tech stack. Of course, you are equipped with the possibilities to discover and treat the data in the greatest way.
Job Description
• Identify data sources and source missing information
• Contribute to build a harmonized data platform on group level
• Designing, testing and deploying machine learning models
• Operationalizing ML applications
• Building together with your team predictive models helping the business user to move pro-actively
• Support the team in setting-up and maintain application relevant data stores
• Defining and designing a data collection of structured and unstructured data
• Enhancing collected data and feature engineering
• Designing and setting up the use case specific data infrastructure
• Data cleansing and verification
• Assessing data quality and recommending actionable measures to improve
• Creating clear, comprehensive and coherent reports as well as presentations to communicate working progress
Qualifications
Hands-on, customer and quality-centric mentalityAnalytics skills: identify root causes at their true core as well as a strong comprehension towards business fields in order to meet the customer needsExperience in ML/AI app development with Python/RDemonstrated experience in the application of various algorithmsKnowledge of a variety of databases with good skills in SQL and related methodologies in relational and non-relational databases.MSc/PhD in computer sciences, mathematics, natural sciences or similar5+ years experience working in designing and deploying machine learning modelsKnowledge in data integration solutions as well as methodologiesVery beneficial skills are:Experience in system engineering Knowledge in AWS services like EC2, S3, SageMaker, etc. as well as experience in analogous services and products Experience in workflow tools as well as the deployment of data pipelines Skills in project management and communication as well as the ability to understand organizational relations Passion for Sports and Tech is very welcomed!
Additional Information
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.