Data Engineer SAP Data Warehouse / Engineering (m/w/d)

Our diverse team of 200+ professionals collaborates to create customized, state-of-the-art payment solutions for major online retailers and marketplaces.
We are building a future-ready domain driven Data warehousing platform that empowers high-impact business domains—Risk, Finance, Commercial, Product, and Compliance—to work with trusted, well-modeled data. Our Data team owns the end-to-end data architecture across ingestion, modeling, quality, and enablement.
As a Senior Data Engineer at Ratepay, you will play a pivotal role in building and optimizing our next-generation cloud-native data platform. You will design and maintain scalable, reliable, and governed data pipelines that power real-time financial services, advanced analytics, and regulatory reporting. You will work closely with BIA, Cloud Infrastructure, Finance, Risk, Compliance, and Domain Engineering teams to shape the next stage of our cloud-native data strategy .
Implement and drive the technical architecture of our cloud-native data platform, spanning AWS (S3, IAM, Glue, EC2) , Snowflake , Kafka , SAP BW and dbt .
Design and optimize ETL/ELT pipelines for structured and unstructured data from SAP BW, SAP FI, Navision, Salesforce and Kafka streaming sources.
Ensure data governance, lineage, and FinOps best practices , enabling secure and cost-efficient cloud operations.
Define best practices in cost monitoring, FinOps , and CI/CD for data to ensure stability and performance at scale.
Collaborate with analysts and data scientists to deliver self-service BI, advanced analytics capabilities and ML Pipelines .
Engage with regulatory and audit needs , enabling data lineage, encryption, and Role Based Access Control (RBAC) in line with BaFin and GDPR expectations.
5+ years of experience in data engineering, data warehousing, or cloud data architecture .

• Expertise in Snowflake, AWS S3, dbt, Kafka, and SQL-based development .
• Extensive experience designing and scaling data warehousing platforms using technologies like Snowflake, AWS, dbt, Terraform, Airflow , Kafka and CI/CD tools.
• Python proficiency for writing clean, modular and maintainable code.
• Knowledge of cloud architecture patterns , data lineage , and experience with governance in regulated industries .
• Bonus : experience with FinTech, payment processing, or regulatory reporting an advantage.