Data Engineer (m/w/d)

Sulzbach (Taunus), DE
cosnova? The name might be new to you - but you certainly know our brands essence and Catrice: they are available in more then 90 countries and together generate annual sales of around 1 billion euros. Today, we rank among the Top 10 in colour cosmetics - thanks to our 900+ dedicated employees worldwide. With passion and creativity, they continue to write our success story every day.
 
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 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 ensures data availability by choosing appropriate data models and technologies. They are going to oversee the integration of new data sources into the data platform and automate data processing pipelines. The Data Engineer identifies and evaluates new relevant technologies or methodologies to support the optimization of the AI platform.

Fulfilling responsibilities. A team that inspires.

  • Technical and conceptional ownership of the cosnova data platform from development to provisioning to maintenance
    • builds, automates and optimizes data processing pipelines and storage for data integration and data driven solutions (streaming and batch data)
    • interfaces with internal data providers and technical teams to build an efficient data platform as single source of truth for the company
    • collaborates with external service providers to develop the data backbone of the AI platform
  • Creates valuable data products to address business needs
    • supports Business Analysts, Data Analysts and Scientists to deliver algorithmic data products
  • Ensures scalability of the data platform with focus on data availability and quality
  • Implements data governance measures
  • Extends the data strategy and the technology stack to react to business requirements and changes in the market

You bring the skills. we give you the space.

  • Advanced degree in computer science or related quantitative discipline
  • +5 years working experience as Data Engineer or comparable role
  • Demonstratable 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 architecture frameworks, like Modern Data Warehouse, Data Mesh, Data Fabric
  • Comfortable in developing container-based environment in a CI/CD framework
  • Excellent programming skills in Python and SQL
  • Fluent in English, German is a plus

Exciting work. Benefits that matter.

Fresh fruit, coffee, tea, cold drinks and a great cafeteria are standard - just a small taste of our bigger benefits.
  • For your rest: in addition to 30 vacation days per year, you will receive four weeks of paid special leave (sabbatical) in your seventh year with the company.
  • For your future: take advantage of our cosnovAcademy with its wide range of training opportunities.
  • For your office life: look forward to a modern, stylish workplace, free lunch on Mondays and Fridays, and complimentary underground parking.
  • For every stage of life: company pension plan, in-house gym, job ticket, subsidy for childcare costs, and many team events.
This is just a few of our benefits. Check out the rest at: www.cosnova.com/en/career

At cosnova, we value personality, talent and team spirit - not age, origin, gender, skin colour, religion, disability or sexual orientation.

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).
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