Senior Data Engineer building and optimizing cloud-native data platform at Ratepay, focusing on ETL/ELT pipelines and data governance with AWS and Snowflake.
Responsibilities
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
Requirements
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
Proven ability to build modular, reusable pipelines with clear separation of concerns across Raw layer, Datalake, and Datamart
Knowledge of cloud architecture patterns , data lineage , and experience with governance in regulated industries
Strong problem-solving skills and a track record of optimizing performance and cost efficiency in cloud environments
Benefits
Equal Opportunities & Diversity
Culture of technical ownership , business enablement , and low operational drag
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