Senior Financial Analytics Engineer (all genders)

We are looking for a Senior Financial Analytics Engineer to join our Financial Data and Automation team. In this role, you will be the main point of contact for data engineering topics under a standard analytics framework. This means the extraction, transformation, and modeling of operational and financial data for to create solutions for all of Finance. This includes SAP data , for which you will become an Expert, if you are not already!

• Support time-sensitive month-end closing activities through financial data analysis, reconciliations, and reporting validation in compliance with IFRS standards
• Design, maintain, and optimize data pipelines connecting SAP/ERP data structures with Google BigQuery (GBQ)
• Write and maintain SQL queries and Python scripts to extract, model, and analyze complex financial data
• Investigate, diagnose, and resolve data discrepancies across SAP tables , data models, and downstream analytics platforms
• Build and maintain self-service reporting tools and dashboards that allow Finance stakeholders to access reliable data independently
• Translate business and financial requirements into scalable technical reporting specifications and data models
• Lead initiatives to expand in-house financial data solutions and analytics capabilities across Google Cloud Platform (GCP)
• Serve as the key technical bridge between Finance stakeholders and core Data teams
• Degree in Computer Science, Data Engineering, Business Informatics, Finance, Economics, or a related quantitative field (or equivalent practical experience)
• 5+ years of experience as an Analytics Engineer, Data Engineer, or Financial Data Analyst working with large-scale financial and ERP data structures
• Advanced proficiency in SQL for complex data modeling, analytical queries, window functions, and data validation
• Practical experience working with ERP and SAP data models (e.g., financial accounting tables, reporting structures, data specifications)
• Hands-on experience with cloud data warehouses, specifically Google BigQuery (GBQ) , and modern data stack tooling
• Solid understanding of core financial accounting principles , including IFRS standards, reconciliation workflows, and month-end closing processes
• Proven track record of building reports and self-service analytics tools using platforms like Looker, Looker Studio , or equivalent BI tools
• Strong analytical and problem-solving skills with a methodical approach to debugging data discrepancies
• Excellent cross-functional communication skills , with a proven ability to translate complex technical concepts for business and finance stakeholders
• High degree of ownership, pragmatism , and a collaborative, team-first mindset in an agile setting

• Experience with Python for data automation
• Familiarity with SAP ERP modules
• Knowledge of modern data orchestration tools
• Prior experience in e-commerce or retail environments