Auf einen Blick
- Aufgaben: Lead the design and implementation of our data platform, ensuring quality and availability.
- Arbeitgeber: Join cosnova, a global leader in high-quality cosmetics with a commitment to innovation.
- Mitarbeitervorteile: Enjoy flexible working hours, 30 days of vacation, and a range of corporate perks.
- Warum dieser Job: Be part of a creative team that values collaboration and offers growth opportunities.
- Gewünschte Qualifikationen: 5+ years as a Data Engineer with expertise in cloud-based data processing and Python.
- Andere Informationen: Work in a stylish office with motivated colleagues in a family-run business.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
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, +49 6196 76156 1060).
#J-18808-Ljbffr
Senior Data Engineer (m/f/d) Arbeitgeber: cosnova GmbH

Kontaktperson:
cosnova GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific data architectures mentioned in the job description, such as Modern Data Warehouse and Data Vault 2.0. Being able to discuss these concepts confidently during your interview will demonstrate your expertise and alignment with our needs.
✨Tip Number 2
Showcase your experience with cloud-based data processing and provisioning stacks. Prepare examples of past projects where you successfully built or optimized data pipelines, as this will highlight your practical skills and problem-solving abilities.
✨Tip Number 3
Brush up on your programming skills in Python and SQL. Be ready to discuss specific challenges you've faced in coding and how you overcame them, as technical proficiency is crucial for this role.
✨Tip Number 4
Network with professionals in the data engineering field, especially those familiar with AI platforms. Engaging with the community can provide insights into current trends and technologies that may be beneficial for your role at cosnova.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, focusing on relevant projects and technologies you've worked with. Emphasize your skills in Python, SQL, and any cloud-based data processing you've done.
Craft a Strong Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with cosnova's mission. Mention specific experiences that demonstrate your ability to design and implement data architectures.
Showcase Relevant Projects: Include examples of past projects where you built or optimized data processing pipelines. Highlight your role in these projects and the impact they had on data availability and quality.
Prepare for Technical Questions: Be ready to discuss your technical expertise in data modeling techniques like Data Vault 2.0 and your experience with data architectures. Prepare to explain how you've implemented data governance measures in previous roles.
Wie du dich auf ein Vorstellungsgespräch bei cosnova GmbH vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud-based data processing and provisioning stacks. Highlight specific projects where you've implemented data architectures like Modern Data Warehouse or Data Mesh, and be ready to explain your approach to data modeling techniques, especially Data Vault 2.0.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to identify and evaluate new technologies or methodologies. Share examples of how you've optimized data platforms in the past and how you approached challenges in data integration and automation.
✨Emphasize Collaboration
Since the role involves interfacing with internal teams and external service providers, be ready to discuss your experience working in cross-functional teams. Provide examples of how you've supported Business Analysts and Data Scientists in delivering algorithmic data products.
✨Prepare for Behavioral Questions
As a Senior Data Engineer, you'll need to fit into a team-oriented environment. Prepare for questions about teamwork, flexibility, and how you handle feedback. Share experiences that demonstrate your ability to work collaboratively and adapt to changing business requirements.