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

Das ist der Job

The way we work is characterized by technical excellence, global cooperation, and a strong sense of community.

Darum lohnt es sich

The Wirtgen Group is a leading internationally active group of companies in the construction equipment sector with around 9,000 employees worldwide. Join the trailblazing team at our location in Windhagen and play your part in shaping the future.

Coordinate consultants and internal teams for monthly, quarterly and annual closing and planning activities.

As a strong branch of John Deere and with our specialized product brands Wirtgen, Vögele, Hamm, Kleemann, Benninghoven and Ciber as well as production facilities in Germany, Brazil, China, and India, we stand for innovation, quality and progress.

People with the most diverse skills and perspectives help us pave new paths and shape the infrastructure of tomorrow. Finance Data Engineer/Data Scientist Your New Position 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. Design & optimize financial processes, consolidation and planning cycles for financial reporting. 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 Build and maintain ETL pipelines from source systems to Power BI. Automate finance data processing and workflows. Develop dashboards, reports, and predictive models to support financial decision‑making.

Build implementation strength in cloud platforms such as Snowflake and Databricks to deliver high‑quality data products and implement standard FI data concepts. Apply statistical methods & ML models for trend and correlation analysis. Support digitalization initiatives including app development (UI/UX) & automation.

What you bring to the table Education: 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. Technical Skills: Solid understanding of financial closing and planning processes.

Proficiency in Excel (VBA), Power BI, SAP BW & HANA. Knowledge of Databricks or Snowflake is a strong advantage or willingness to develop. Knowledge in SAP Analysis for Office and coding skills in Python (or similar languages) are a plus. Languages: English (fluent), German (good knowledge).

If you are interested in applying, please visit our recruiting website. #J-18808-Ljbffr