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

WIRTGEN DEUTSCHLAND Vertriebs- und Service GmbH -
Windhagen

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 23 Stunden

Qualifikationen

Power BI
Microsoft Excel
SAP
SAP BW 4HANA
Bachelor
VBA
Wirtschaft
Python

Vollständige Stellenbeschreibung

The Wirtgen Group is a leading internationally active group of companies in the construction equipment sector with around 9,000 employees worldwide. 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.

The way we work is characterized by technical excellence, global cooperation, and a strong sense of community. People with the most diverse skills and perspectives help us pave new paths and shape the infrastructure of tomorrow.

Join the trailblazing team at our location in Windhagen and play your part in shaping the future.

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/w/d)

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

You are interested in our job advertisement? We’re looking forward to your application via our recruiting website.

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Ansprechpartner

WIRTGEN GROUP
Construction Technologies Holding GmbH
HR Department Carolin Gruber
Reinhard-Wirtgen-Straße 2 53578 Windhagen

Password: Data Engineer/Data Scientist in Finance

Online Application: Career | Germany | Wirtgen Group

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