Senior Data Engineer/Architect (m/w/d)

Ernsting's family

Did you know that... as a sustainably operating family business with around 2,000 stores in Germany, Austria, and the Netherlands, and a multi-award-winning online shop, we are one of the largest omnichannel providers in the European textile retail sector? Our customers enjoy an attractive price-performance ratio in clothing and home & living assortments for the whole family. This sense of family is also reflected in our daily interactions: a strong sense of community, communication at eye level, and respectful collaboration make our ever-growing Ernsting's family truly special.

What awaits you

• You will shape the architecture and technical foundation for data-driven decisions, from efficient data integration to the provision of scalable data products.
• In collaboration with Data Scientists and Reporting Engineers, you will realize data architectures based on SAP BW, SAP Datasphere, Microsoft Azure, and Databricks.
• You will integrate and transform data from SAP and non-SAP systems to make it usable for Advanced Analytics and Machine Learning applications.
• You will ensure high data quality through automated validation processes, structured monitoring, and robust governance concepts.
• You will actively support the operationalization of analytics and machine learning pipelines.
• You will contribute to the further development of our data strategy and bring in new technologies and best practices from the SAP and Azure environment.

What you bring

• Several years of professional experience as a Data Scientist, ideally with a focus on e-commerce, digital analytics, or CRM.
• A completed degree in statistics, business administration, data science, computer science, or related fields with appropriate specialization.
• Very good knowledge of Python or R, as well as experience with Spark, SQL, and cloud technologies such as Microsoft Azure, AWS, Databricks, or comparable platforms.
• Experience in developing and implementing predictive models, personalization algorithms, and segmentation approaches.
• Experience in project management and collaboration with stakeholders from various departments.
• Strong communication skills and the ability to convey complex analyses understandably and purposefully, both technically and business-oriented.
• Enthusiasm for the business value of Data Science and AI, and the joy of driving new ideas forward.

Look forward to

• Job & Family: We foster a strong sense of community on campus with a 37.5-hour work week and a daycare center right on campus.
• Financial Benefits: Vacation and Christmas bonuses, company pension scheme, capital-forming benefits, corporate benefits, employee discounts, and bike leasing.
• Feel-Good Factor: 30 vacation days, a free gym on campus, modern workplaces, several coffee hubs, and food spots with fresh menus.
• Close Collaboration: With other departments, data architects, and engineers.
• Family Fun: Internal events and activities on campus with a pétanque court, padel court, and multi-sports field.
• A Warm Welcome: With structured onboarding, regular feedback discussions, and individual development opportunities.

What are you waiting for?

For questions about the job, feel free to contact Susann Axnicht by phone at +49 2546 77-4530 or by email at bewerbung@ernstings-family.com Benefits: Company canteen, coaching, employee laptop, company pension, childcare, employee discounts, additional vacation day, fitness facilities, flexible working hours, good public transport links, home office, company events, parking, sports activities, tuition assistance, balcony MinSalary: 75000 MaxSalary: SalaryCurrency: EUR Remote Model: Hybrid Country Code: de