Senior Financial Analytics Engineer (all genders) Hamburg, Germany

About You - Collins GmbH & Co. KG; Hamburg; On-site; EUR 90,000 - 130,000; Full time

Job summary

About You - Collins GmbH & Co. KG is seeking a Senior Financial Analytics Engineer to own data engineering topics within a standard analytics framework.

You will extract, transform, and model operational and financial data to create scalable solutions for Finance, specializing in SAP data. Responsibilities include supporting month-end close through financial data analysis, building data pipelines to connect SAP/ERP with Google BigQuery, and delivering self-service dashboards for Finance

Qualifications

• Experience in financial data analysis and reporting within IFRS framework.
• Strong SQL and Python skills for data extraction and modeling.
• Experience designing data pipelines integrating SAP/ERP with cloud platforms.

Responsibilities

• Support month-end close through data analysis, reconciliations, and reporting validation.
• 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 discrepancies across SAP tables, data models and downstream analytics platforms.
• Build and maintain self-service reporting tools and dashboards for Finance stakeholders.

Skills

Data engineering

SQL

Python

Data modeling

Finance knowledge

Education

Bachelor's/Master's in CS/IS/Finance

Tools

SAP

Google BigQuery

ETL tools

Job description

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