<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>SENIOR DATA ENGINEER*<br/><br/></strong><strong><strong>THIS IS US <br/></strong></strong> The Data Science department uses state-of-the-art machine learning and optimization techniques to continuously improve business processes at NEW YORKER. We work in agile project teams on a variety of use cases, including image recognition, order optimization, pricing, distribution and logistics. We are a very ambitious and international team and are proud of our high standards.<br/><br/><strong><strong>THAT'S THE JOB<br/><br/><br/></strong></strong><ul><li>Design, implement and optimize effective data processing architectures in Python</li><li>Extract, transform, analyze, clean and model data from different sources</li><li>Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality</li><li>Strive to understand how the data is actually generated and what impact this has on data quality and our use cases through proactive communication with other departments</li><li>Operationalize machine learning pipelines together with a team of highly motivated data scientists</li><li>Architect and develop continuous integration &amp; deployment processes</li><li>Operate and optimize Hadoop (Cloudera) clusters with support of the DevOps and Infrastructure teams</li><li>Mentor more junior team members through insightful code reviews and pair programming sessions<br/><br/></li></ul><strong>That’s What We Need<br/><br/></strong><ul><li>Master’s degree in Computer Science or equivalent</li><li>Three or more years of working experience as a data engineer or similar position</li><li>Extensive experience with Spark, Hadoop, SQL &amp; relational databases, data models and ETL pipelines</li><li>Ability to write efficient, well-tested code with a keen eye on scalability and maintainability in Python; Airflow and Scala experience is a plus</li><li>Experience with Docker, Kubernetes and usage of continuous integration &amp; deployment is a plus</li><li>Good Linux knowledge</li><li>You are a team player and strong communicator with a hands-on mentality</li><li>Good spoken and written German, fluent English is a must-have<br/><br/></li></ul><strong>Your Benefits At New Yorker<br/><br/></strong>At NEW YORKER, you are more than just an employee - with our benefits, we want you to feel completely at ease right from the start, both professionally and personally.<br/><br/><strong>Benefits.<br/><br/></strong><ul><li> 30% staff discount in all NEW YORKER shops </li><li> Access to corporate benefits with a wide range of offers </li><li> Company fitness co-operation with Hansefit - nationwide discounted fitness and wellness offers </li><li> Exclusive discounts at the OX restaurant in Braunschweig <br/><br/></li></ul><strong>Fairness.<br/><br/></strong><ul><li> Flexible working hours for a healthy work-life balance </li><li> Attractive remuneration &amp; comprehensive social benefits </li><li> 30 days holiday, company pension scheme and capital-forming benefits <br/><br/></li></ul><strong>Security &amp; prospects.<br/><br/></strong><ul><li> Permanent job in an internationally successful company </li><li> Stable, fast-growing and future-orientated <br/><br/></li></ul><strong>Working together.<br/><br/></strong><ul><li> Personal buddy for your successful start </li><li> Onboarding events for the perfect start </li><li> Company and team events for a strong sense of togetherness <br/><br/></li></ul><strong>Location &amp; future.<br/><br/></strong><ul><li> Very good connection of the headquarter (Hansestraße) to the A2/A391 motorway as well as free employee parking spaces at many locations </li><li> You can already look forward to our Fashion Campus: a modern headquarter with inspiring workplaces that will be built in the coming years <br/><br/></li></ul><strong><strong>GET IN CONTACT<br/></strong></strong> <strong>NEW YORKER Group-Services International GmbH &amp; Co. KG<br/><br/></strong>Contact: Aayush Sarma | Recruiting Specialist<br/><br/>P +49 531 2135 - 5421 www.newyorker.de/Jobs<br/><br/><strong>Redaktionell empfohlener externer Inhalt<br/><br/></strong> </div>