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)