Senior Data Engineer who builds data products for Sales, Marketing and Customer Service at DKV: designing, operating and optimizing cloud data pipelines and relational/dimensional data models in Azure, ensuring data quality, and leading data-related projects. Core stack: Python, SQL, Terraform, and Azure-based data lakehouse architecture.
In this role you will build data products for Sales, Marketing and Customer Service, collaborating with the central Data Intelligence & Analytics team to enable data-driven decisions. You will design and optimize data pipelines and models in a cloud Azure environment, promoting data literacy and high data quality. You will lead data-related projects and guide colleagues in the new Azure-based Data & Analytics framework to drive growth and efficiency. This position offers impact across business-critical areas and a chance to shape the data platform for a major mobility company.
Leistungen / Benefits
comprehensive health management
parent-child offices (from 2023)
eBike leasing via Jobrad
flexible working hours
home office options
modern learning environment
Verantwortungsbereiche
Develop data products for Sales, Marketing and Customer Service
Ensure high data quality and promote data literacy
Optimize data processes for performance, quality and cost
Develop and operate data pipelines to address business challenges
Design and implement relational and dimensional data models in Azure
Support and guide teams in the Azure Data & Analytics framework
Lead data-related projects within Sales, Marketing and Customer Service domain
Zentrale Anforderungen
completed degree in computer science, business administration, or a comparable qualification
at least two years of professional experience as BI Engineer or Data Engineer with cloud-based products
solid knowledge of Python and SQL
experience with data lakehouse architectures
experience using Terraform to define and maintain infrastructure
excellent analytical skills and strong project management capabilities