Senior Data Engineer Sales Data Hub (gn) full-time / part-time (hybrid)

Do you want to play an active role in driving a company's growth and turning big plans into reality? Then join our team! You can look forward to exciting challenges, an inspiring environment, and a work culture that combines flexibility and collaboration - with our 60/40 hybrid model and modern offices in Ratingen as a hub for ideas. As part of our team, you will take on the following responsibilities:

• You independently develop data products for Sales, Marketing, and Customer Service, following an agile approach and in close collaboration with the central Data Intelligence & Analytics team
• You ensure data quality and actively promote data literacy across Sales, Marketing, and Customer Service
• You continuously optimize data to deliver better solutions in terms of performance, quality, and cost
• You take ownership of developing products that enable DKV-particularly in Sales, Marketing, and Customer Service-to address business-critical challenges (e.g., by building and operating data pipelines)
• You are responsible for designing and implementing relational and dimensional data models in a cloud-based Azure environment
• You support and advise colleagues in Sales, Marketing, and Customer Service on the adoption of the new Data & Analytics framework (Azure-based), enabling further growth
• You take on project or sub-project leadership as a Sales Data Hub representative in cross-functional projects, We stand for the compatibility of family and career! That's why we offer flexible working hours and family-friendly working time models. In addition, we rely on a balanced mix of on-site meetings and home office.

Do you have experience in Terraform?, * You hold a degree in Computer Science, Business Administration, or a comparable qualification

• You bring more than 6 years of professional experience as a Data Engineer or BI Engineer, with a strong focus on developing and scaling cloud-based data platforms
• You have deep expertise in Python and SQL and use them confidently for complex data processing and modeling
• You have extensive experience in designing, building, and operating modern data lakehouse architectures
• You are proficient in working with infrastructure as code (especially Terraform) and take responsibility for building and continuously evolving stable data infrastructures
• You take ownership of architectural decisions and actively drive the further development of data platforms and engineering standards
• You have excellent analytical skills and manage technical projects independently while closely collaborating with stakeholders
• You communicate confidently in both German and English and are able to explain complex technical concepts in a clear and understandable way
• You work independently, take ownership of end-to-end solutions, and actively contribute to knowledge sharing within the team

We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation. Severely disabled applicants will be given preference if equally qualified. This position can be full-time or part-time (min. 30h/week). DKV Mobility is looking for the best talents and knows that these are not always available on a full-time basis. Many of our employees work part-time or in flexible working models. Please talk to us about the flexibility you need during the application process.

Pulled from the full job description

• Flexible schedule

Als führender europäischer Mobilitätsdienstleister widmen wir uns effizienten Mobilitätslösungen zur Steuerung gewerblicher Fuhrparks. Zu unserem Portfolio gehören smarte Produkte und Dienstleistungen rund ums Tanken, alternative Antriebsarten, Mautabwicklung, Liquiditätsvorteile und innovative vernetzte Services.

In unserem Know-how steckt die geballte Kompetenz von mehr als 1.000 Mitarbeiterinnen und Mitarbeitern aus 13 Ländern. Der DKV Euro Service ist Teil der DKV MOBILITY SERVICES Group, die 2018 einen Umsatz von 8,6 Milliarden Euro erwirtschaftete.