Das ist der Job
Description About Us At TIS, we’re on a mission to redefine corporate payment, cashflow, and liquidity management.
Darum lohnt es sich
You’ll work closely with our Data Platform Engineering team, shaping the architecture that powers mission-critical insights for internal teams and global customers. Every day, we process hundreds of thousands of transactions worth billions, generating massive amounts of data.
This data powers our solutions, enabling customers to make smarter decisions and plan their finances intelligently. We are building best-in-class, data-driven solutions that are scalable, secure, and insightful. Our vision is bold: leverage AI and GenAI to transform the industry and deliver unprecedented value to our customers.
If you’re passionate about data, cloud technologies, and innovation, this is the place for you. Your Impact As an AWS Data Engineer, you will be the backbone of our cloud-native big data platform, enabling advanced analytics and AI capabilities across TIS.
Requirements Deep expertise in AWS Data services: DMS, S3, Lambda, Glue, Athena, Step Functions, IAM, Lake Formation, DataZone, QuickSight, Data Firehose Solid experience with data processing pipelines, data governance, and RDBMS/data warehouse technologies.
Strong understanding of batch and streaming data processing for scalable pipelines Proficiency in Python 3 or JVM-based languages (e.g., Scala). Strong knowledge of data protection and security best practices. Hands-on experience with Infrastructure as Code (Terraform or AWS CDK). Familiarity with CI/CD pipelines and automation.
Expertise in quality and test automation including data integrity checks, schema validation to ensure high data quality. Bonus: Experience with AI/GenAI frameworks (Amazon SageMaker, Bedrock, LangChain, LlamaIndex). Excellent foundation in software engineering principles (SOLID, Clean Code). Strong communication skills in English.
