Senior Data Engineer (m/f/d)

We will never stop making everyone feel more beautiful by providing cosmetics, innovation and variety with our brand essence and Catrice .

Join our international team with over 800 employees and help shape our success story! Context:
cosnova offers high-quality decorative cosmetics around the world at a supreme price-performance ratio. The position is in the Data Analytics and Engineering team, which is responsible for providing Data Science, Data Analytics and Data Management to the whole company enabling easy data-driven decision making to all relevant business stakeholders by providing actionable insights. The Senior Data Engineer is responsible for designing and implementing the data architecture of cosnova’s data platform, guaranteeing data quality through low-maintenance data governance measures and ensuring data availability by choosing appropriate data models and technologies. They will oversee the integration of new data sources into the data platform and automate data processing pipelines. The Senior Data Engineer identifies and evaluates new relevant technologies or methodologies to support the optimization of the AI platform.

Your job:

• Technical and conceptual ownership of the cosnova data platform from development to provisioning to maintenance
  • Build, automate and optimize data processing pipelines and storage for data integration and data-driven solutions (streaming and batch data)
  • Interface with internal data providers and technical teams to build an efficient data platform as a single source of truth for the company
  • Collaborate with external service providers to develop the data backbone of the AI platform
• Create valuable data products to address business needs
  • Support Business Analysts, Data Analysts and Scientists to deliver algorithmic data products
• Ensure scalability of the data platform with a focus on data availability and quality
• Implement data governance measures
• Extend the data strategy and the technology stack to react to business requirements and changes in the market

Your profile:

• Advanced degree in computer science or related quantitative discipline
• +5 years working experience as a Data Engineer or comparable role
• Demonstrable knowledge in building and maintaining a scalable cloud-based data processing and provisioning stack
• Strong knowledge in databases and data modelling techniques, especially Data Vault 2.0
• Experienced with data architectures, like Modern Data Warehouse, Data Mesh, Data Fabric
• Comfortable in developing container-based environments in a CI/CD framework
• Excellent programming skills in Python and SQL
• Fluent in English, German is a plus

We offer:

• Attractive working environment: Challenging tasks with a lot of creative freedom in a stylish office.
• Team: Kind, motivated colleagues, for whom the idea of teamwork is principal.
• Family business: Owner-managed, acting sustainably, and always at eye level from interns to management.
• Flexibility: Through mobile working and flexible working hours.
• Prospects: Whether onboarding, continuous on-the-job training, job rotation, or internal/external further training measures - everything is possible.
• The classics: 30 days' holiday as well as a freshly prepared lunch, fruit, coffee variety, tea, and cold drinks.
• Benefits, benefits, benefits: Company pension scheme, in-house gym, JobTicket, subsidy for childcare costs, and always reasons to celebrate together. Our list is long, so there is bound to be something for you. You can find all our benefits here:

We look forward to receiving your complete job application in English or German. Your contact person for this vacancy is Marc Trautmann (Senior HR Manager, ).

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