Data Engineer / Data Scientist (m/w/d) in

The WIRTGEN GROUP is an internationally operating group of companies in the construction machinery sector incorporating the traditional product brands WIRTGEN, VÖGELE, HAMM, KLEEMANN, BENNINGHOVEN and CIBER with factories in Germany, Brazil, China and India. Worldwide customer support is provided by the group-owned sales and service companies and authorized dealers. Presently the WIRTGEN GROUP employs approximately 9,000 people.
We are looking for a Finance Data Engineer/Data Scientist to manage financial reporting, planning, and data operations in the WIRTGEN GROUP. The role requires strong expertise in Power BI Backend, Excel, and SAP BW . In the long term, you should be willing to develop your skills in modern Data Warehouse platforms like Databricks or Snowflake , if you have not already achieved this. The WIRTGEN GROUP will strongly support you in this. You will collaborate across teams to maintain reporting tools, support planning cycles, and drive automation and data quality improvements. This position blends financial process knowledge with data engineering skills to deliver scalable, data-driven solutions.

To strengthen our finance department, we are looking for a full-time and permanent
Data Engineer/Data Scientist in Finance (m/f/d)

Finance Data Operations & Reporting
Maintain and manage FI data operations, ensuring accuracy and consistency across systems
Support annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cycles
SAP BW Development
Design, enhance, and support BW queries
Manage SAP BW-IP for integrated planning and group-level reporting

End-to-End Data Pipeline Development
Automate finance data processing and workflows
Develop dashboards, reports, and predictive models to support financial decision-making
Building implementation strength in cloud platforms such as Snowflake and Databricks to deliver high-quality data products and implement standard FI data concepts
Support digitalization initiatives including app development (UI/UX) & automation

Bachelor's degree in Business informatics, Business Administration, Industrial Engineering or Data Science-related field

Experience: 3+ years in financial reporting/planning or data engineering in a finance context

Proficiency in Excel (VBA), Power BI, SAP BW & HANA

Knowledge in SAP Analysis for Office and coding skills in Python (or similar languages) are a plus

English (fluent), German (good knowledge)

Security: Performance-related remuneration and above-average social benefits

Opportunities for self-determined personal and professional development

Enthusiasm: Become part of a leading international group of companies

Flat hierarchies, regular feedback and direct communication channels

Open-minded and highly qualified colleagues who enjoy their work, cohesion is a living reality with us

HR Department · Frau Carolin Gruber
Password: Data Engineer/Data Scientist in Finance

Online-Bewerbung:
Career | Germany | Wirtgen Group
We are looking for a Finance Data Engineer/Data Scientist to manage financial reporting, planning, and data operations in the WIRTGEN GROUP. The role requires strong expertise in Power BI Backend, Excel, and SAP BW . In the long term, you should be willing to develop your skills in modern Data Warehouse platforms like Databricks or Snowflake , if you have not already achieved this. The WIRTGEN GROUP will strongly support you in this. You will collaborate across teams to maintain reporting tools, support planning cycles, and drive automation and data quality improvements. This position blends financial process knowledge with data engineering skills to deliver scalable, data-driven solutions.
Finance Data Operations & Reporting
Maintain and manage FI data operations, ensuring accuracy and consistency across systems
Support annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cycles
SAP BW Development
Design, enhance, and support BW queries
Manage SAP BW-IP for integrated planning and group-level reporting
End-to-End Data Pipeline Development
Automate finance data processing and workflows
Develop dashboards, reports, and predictive models to support financial decision-making
Building implementation strength in cloud platforms such as Snowflake and Databricks to deliver high-quality data products and implement standard FI data concepts
Support digitalization initiatives including app development (UI/UX) & automation
Bachelor's degree in Business informatics, Business Administration, Industrial Engineering or Data Science-related field
Experience: 3+ years in financial reporting/planning or data engineering in a finance context
Proficiency in Excel (VBA), Power BI, SAP BW & HANA
Knowledge in SAP Analysis for Office and coding skills in Python (or similar languages) are a plus
English (fluent), German (good knowledge)