Data Engineer/Data Scientist in Finance

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 permanentData Engineer/Data Scientist in Finance (m/f/d)YOUR NEW POSITION:Finance Data Operations & ReportingMaintain and manage FI data operations, ensuring accuracy and consistency across systemsSupport annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cyclesCoordinate consultants and internal teams for monthly, quarterly and annual closing and planning activitiesDesign & optimize financial processes, consolidation and planning cycles for financial reportingSAP BW DevelopmentDesign, enhance, and support BW queriesManage SAP BW-IP for integrated planning and group-level reportingEnd-to-End Data Pipeline DevelopmentBuild and maintain ETL pipelines from source systems to Power BIAutomate finance data processing and workflowsDevelop dashboards, reports, and predictive models to support financial decision-makingBuilding implementation strength in cloud platforms such as Snowflake and Databricks to deliver high-quality data products and implement standard FI data conceptsApply statistical methods & ML Models for trend and correlation analysisSupport digitalization initiatives including app development (UI/UX) & automationWHAT YOU BRING TO THE TABLE:Education: Bachelor's degree in Business informatics, Business Administration, Industrial Engineering or Data Science-related fieldExperience: 3+ years in financial reporting/planning or data engineering in a finance contextTechnical Skills:Solid understanding of financial closing and planning processesProficiency in Excel (VBA), Power BI, SAP BW & HANAKnowledge of Databricks or Snowflake is a strong advantage or willingness to developKnowledge in SAP Analysis for Office and coding skills in Python (or similar languages) are a plusLanguages: English (fluent), German (good knowledge)OUR OFFER:Security: Performance-related remuneration and above-average social benefitsFlexibility: Flexible working hours and the option of mobile workingGrowth: Opportunities for self-determined personal and professional developmentDiversity: Varied areas of responsibility, room to help shape the company, intercultural networkEnthusiasm: Become part of a leading international group of companiesCulture: Flat hierarchies, regular feedback and direct communication channelsAchieve more as part of a team: Open-minded and highly qualified colleagues who enjoy their work, cohesion is a living reality with usYou are interested in our job advertisement? We're looking forward to your application via our recruiting website .WIRTGEN GROUPConstruction Technologies Holding GmbHHR Department · Frau Carolin GruberReinhard-Wirtgen-Straße 2 · 53578 WindhagenPassword: Data Engineer/Data Scientist in FinanceOnline-Bewerbung:Career | Germany | Wirtgen Group