Senior Data Engineer (m/f/d)

• Build and own scalable data pipelines and integration solutions our data warehouse and data platform.
• Integrate and transform data from ERP, CRM, finance, and other enterprise systems.
• Ensure high standards of data quality, reliability, performance, and operational excellence.
• Contribute to the continuous evolution of our cloud-based analytics and data platform.
• Contribute to security, access management, and governance requirements.
• Ensure compliance with enterprise standards and best practices. Data Product & Business Enablement
• Partner with business stakeholders to translate business requirements into scalable data products and solutions.
• Support the implementation of Data as a Product (DaaP) and Data Mesh principles across business domains.
• Enable self-service analytics through trusted, well-governed, and well-documented datasets.
• Develop a strong understanding of business processes and help turn business challenges into data-driven solutions. Strategic Project Delivery
• Take a leading engineering role in initiatives such as:
• Finance systems integration and transformation initiatives
• AI Enablement Initiatives and data foundations for AI-powered solutions
• Financial, commercial, and supply chain analytics
• Enterprise Reporting & Self-Service BI Collaboration & Leadership
• Work closely with product owners, business stakeholders, analysts, and fellow engineers.
• Mentor junior engineers and promote engineering best practices.
• Participate in technical design discussions and solution reviews.
• Drive continuous improvement of development processes and platform capabilities.

Required Experience

• 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role.
• Strong experience building modern cloud-based data platforms.
• Proven expertise in: Azure Cloud infrastructure (Azure Data Factory / Databricks), SQL, Python
• Strong understanding of dimensional data modelling, analytical data structures, and modern lakehouse/data warehousing architectures.
• ETL / ELT development
• Experience integrating data from ERP, CRM, financial, and operational systems.
• Deep understanding of data quality, performance optimization, and operational support.
• Experience working in agile cross-functional teams.
• Strong communication skills in English. German is a plus Nice to Have
• Experience with Microsoft Fabric or similar modern analytics platforms.
• Experience supporting AI and Machine Learning use cases.
• Knowledge of Power BI semantic models and analytical consumption layers.
• Understanding of Data as a Product and Data Mesh concepts.
• Exposure to finance and controlling processes.
• Experience working in international organizations. Personal Attributes We're looking for someone who:
• Is passionate about turning data into business value.
• Balances technical excellence with a strong business mindset.
• Thinks proactively and takes ownership.
• Enjoys solving complex data challenges.
• Communicates effectively with both technical and non-technical stakeholders.
• Thrives in collaborative, international environments.

What We Are Ready To Offer You

• We care about you: if there are any problems, we will do everything we can to support you - no one is left out in the cold with us
• Further training opportunities via internal and external training courses
• Flexible working hours, mobile working and modern workplace equipment, plus 30 days of vacation
• Discounted online shopping through our Corporate Benefits Portal
• Hybrid work schedule with possibility to work remotely
• Subsidy for the Germany Ticket, and e-charging stations in the free company parking
• Last but not least: you are driving forward the energy transition as part of a great team and ensuring that our future becomes a little greener

Data Platform Development