Schönefeld bei Berlin
If you are interested in data pipelines, data apps and data in general, join us on our journey! We work on many different data applications and use-cases ranging from classical BI and digital analytics, to our own inhouse apps like recommender systems, an a/b testing tool or onsite personalization via near-time event streaming. We are one of the biggest traditional players in the German brick and mortar furniture retail business. Right now we are in the midst of the digital transformation of our company. Currently our focus is everything e-commerce, but our view in general is not limited to this field. Our goal is not only to defend our position and to master the digital challenges ahead of us, but also to grow our business and constantly improve in what we do. As a data team, of which you would become a part, we make processes more efficient and provide insights and recommendations for other teams. Our work is based on two main pillars: Reporting & BI Automation When starting as a Data Engineer in our data team, you will support us in a hands-on manner. Together with us, you will build and maintain ETLs and streaming pipelines, advise on and implement our DWH strategy, deal with cloud and on-premise infrastructure, envision ml workflows and ultimately help us to reach the next step on the staircase of becoming a more datadriven company. You will work with and on different databases and help us building more and better reports as well as applications which both either directly serve our customers (recommendations etc.) or which enable business users to become more efficient. In your daily work you will deal with: Different databases and database types (eg. Postgres, MariaDB, AWS Redshift, MongoDB, Elasticsearch) On-premise infrastructure and cloud infrastructure (AWS) Different data and event types (transactional data/ event data) Data-Science libraries and toolkits (eg. Scikit-learn, Pymc3, Pandas, Numpy) Visualization tools and UIs (eg. Qliksense, Plotly, Superset, Kibana, Jupyter) Web analytics tools (eg. Snowplow, Google Analytics) Data based applications and automation processes Plenty of problems which need to be solved by leveraging data You should be fluent in Python and SQL and have a very good understanding of RDBMS’. Having experience with Apache Airflow, Graph Databases and/ or AWS infrastructure is a plus, but not necessary. When working with data, we find it important to be detail-oriented and to deliver reliable results that are accurate and trustworthy in a reasonable amount of time. If you not only want to join us on our journey, but also steer and influence it in an impactful way, we are looking forward to receiving your application.The flat hierarchies and short decision-making paths of our family-owned company enable fast and dynamic work. In our rock-solid and growing company, you will work on varied tasks in an international, motivated and open-minded team. We offer you not only a permanent, secure job and good career opportunities, but also an attractive salary and company pension plan. Exciting tasks that will ignite your enthusiasm and passion can be completed in a great office that leaves nothing to be desired and with trust-based working hours. In our Höffner restaurant "Kochmütze" you can choose daily from a wide selection of delicious lunch dishes and feast at a discounted price. Outside our headquarters you have numerous possibilities to spend your lunch break in a varied way and to do the necessary shopping directly after work. We also offer a free shuttle service from Grünau S-Bahn station and Rudow U-Bahn station, which comfortably brings our employees to our headquarters. We are also easy to reach by car thanks to our location on the highway and free parking right in front of the door. You will receive an attractive employee discount on our entire assortment through which you can equip yourself with great home items.