About UsAt TIS, we’re on a mission to redefine corporate payment, cashflow, and liquidity management. 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 ImpactAs an AWS Data Engineer, you will be the backbone of our cloud-native big data platform, enabling advanced analytics and AI capabilities across TIS. You’ll work closely with our Data Platform Engineering team, shaping the architecture that powers mission-critical insights for internal teams and global customers.
Responsibilities
- Design and maintain robust, scalable ETL pipelines to process massive daily data volumes.
- Build and optimize our AWS-based data lake and analytical platform.
- Ensure data integrity, security, and compliance across all processes.
- Drive data lake adoption across TIS squads and empower teams with self-service analytics.
- Contribute to the implementation and scaling of our GenAI platform, integrated into the data ecosystem.
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.
Benefits
- Impact at scale: Work on a platform processing billions in transactions daily.
- Innovation-driven culture: Be part of a team pioneering AI and GenAI in financial technology.
- Remote flexibility: Work from anywhere in Europe or join us in our Berlin or Sofia office.
- Continuous learning: Access to cutting-edge tools, certifications, and growth opportunities.
- Collaborative environment: Work with passionate experts in data, AI, and cloud engineering.
Ready to shape the future of financial data? Apply now and let’s build something extraordinary together.