Data Scientist/Data Analyst/Data Engineer (m/w/d)

We want to pass on the joy we get from creating and selling our products to our customers through our financing solutions for new cars and motorcycles. We also operate our financial services business with partner banks in 15 European countries.
If you would like to learn about our banking business and help shape it, then join our team in Frankfurt (Germany) or Barcelona (Spain).
Data Architecture & Engineering

o Collaborate with Data Engineer to design and build scalable, production-grade data pipelines (AWS Glue, S3, Athena, Redshift).
o Support the transition from legacy DWH to a data lakehouse architecture (bronze, silver, gold layers).
o Provide analytical input on ETL/ELT design, data quality, and performance optimization.
~ Data Analysis and Insights

o Perform exploratory data analysis and hypothesis testing.
Machine Learning and Predictive Analytics

o Design, develop, and deploy machine learning models for business use cases.
Data Visualization and Communication

o Create compelling dashboards and self-service analytics using Power BI, QlikView, and Python/R visualization libraries.
o Develop executive-level reporting and analytical dashboards.
o Work closely with Data Engineer, Business Analysts and governance teams to define data and analytics standards.
o Participate in data governance, metadata management, and data quality processes in a multi-country / multi-entity data initiatives.
~ o Implement automated workflows for data science model testing, deployment, and monitoring.
o Support DevSecOps goals by integrating ML workflows into CI/CD and IaC pipelines.
o 5–7 years of experience in data science, analytics, or predictive modelling.
o Expert-level SQL skills (Microsoft SQL Server, query optimization, data warehousing).
o Strong programming proficiency in Python (Pandas, PySpark, scikit-learn) and/or R (statistical analysis, visualization).
o Proven experience developing and deploying machine learning models.
o Strong grasp of data lakehouse architectures and hybrid cloud/on-premise operations.
o Proficiency with data visualization tools (Power BI, QlikView).
o AWS Data Analytics or Machine Learning certifications and Billing Services.
o Knowledge of DORA compliance frameworks or EU data regulations
o Experience with QlikView as data visualization and reporting tool