Senior Financial Analytics Engineer (all genders)

About our Product & Tech Department

Our mission is to digitize the classic shopping stroll, turning it into a personalized, inspiring experience for every customer. Technology and data sit at the center of everything we build. We are not a fashion company with a tech team on the side. Tech drives our product, our strategy, and our growth.
Our proprietary tech stack powers our own shops and SCAYLE, our commerce infrastructure solution that serves over 350 brands globally. Same foundation, bigger stage. The challenges keep things interesting.

What To Expect

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

Who You Are

• 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

Nice to have

• 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

Salary range

70k - 85k €