Senior Data Engineer (m/f/d)

BayWa r.e. is the home for change makers. We r.e.think energy – how it is produced, stored and can be best used to enable the global renewable energy transition that is essential to the future of our planet. At BayWa r.e. we effect change globally. With locations in numerous countries, thousands of colleagues are already working across the world, collaborating with local businesses to proactively shape the future of the energy sector. With a network of over 20 locations worldwide, more than 1,200 employees and over 30 years of experience, the Business Entity Solar Trade within BayWa r.e. group is one of the world's leading distributors of photovoltaic components. Throughout the B2B sector we supply and support our partners and installers with innovative photovoltaic products. We therefore offer trainings and organize roadshows to keep our customers up to date. About the role: We are looking for a highly motivated Senior Data Engineer to help shape, scale, and continuous improvement our enterprise data platform while driving strategic data across the organization. In this role, you will be at the centre of major transformation programs, enabling trusted, scalable, and business-ready data products that support critical business capabilities such as Integrating Finance systems, existing AI solutions, Data as a Product (DaaP), Supply Chain Analytics, Commercial Reporting, and future AI initiatives. Beyond delivering individual solutions, you will play a key role in driving our long-term data strategy. This includes helping evolve our platform towards a Data as a Product (DaaP) operating model, enabling domain-oriented ownership, and supporting the adoption of Data Mesh principles to create scalable, reusable, and business-focused data products. You will work closely with business stakeholders, data product owners, analysts, developers, and platform teams to build data solutions that create measurable business value.

Data Platform Development Build and own scalable datas and integration pipeline 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 and 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 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. English 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 complex data challenges. Communicates effectively with both technical and non-technical stakeholders. Thrives in collaborative, international environments.

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 Do you want to change the future with us? Great! Then apply now. .