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Data engineer/data scientist in finance (m/w/d)

Windhagen
Wirtgen GmbH
Data Engineer
Inserat online seit: 9 Dezember
Beschreibung

Data Engineer/Data Scientist in Finance (m/w/d) Join WIRTGEN GROUP as a Data Engineer/Data Scientist in Finance. The role focuses on managing financial reporting, planning, and data operations with expertise in Power BI, Excel, and SAP BW. You will develop skills in modern data‑warehouse platforms such as Databricks and Snowflake while collaborating across teams to maintain reporting tools, support planning cycles, and drive automation and data‑quality improvements. Job Overview A full‑time, permanent position within the finance department. Responsibilities Finance data operations & reporting: maintain and manage FI data. Support annual planning templates and collaborate with business units using SAP BW and Power BI during 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; implement on cloud platforms such as Snowflake and Databricks; apply statistical methods and ML models for trend and correlation analysis; support digitalization initiatives (UI/UX & automation). Qualifications Bachelor’s degree in Business Informatics, Business Administration, Industrial Engineering, Data Science, or a related field. 3+ years of experience in financial reporting/planning or data engineering in a finance context. Solid understanding of financial closing and planning processes. Proficiency in Excel (VBA), Power BI, SAP BW & HANA. Experience with Databricks or Snowflake is a strong advantage or willingness to develop. Knowledge in SAP Analysis for Office and coding skills in Python (or similar) is a plus. Fluent in English; good knowledge of German. What We Offer We look forward to your application via our recruiting website. Learn more about our data protection policy on the platform of our service provider “Umantis”. #J-18808-Ljbffr

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