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описание
We are looking for a Data Engineer who enjoys building reliable data pipelines. You will help design and operate scalable ELT processes that power analytics, reporting, and core product features. You are comfortable working with Python, SQL and AWS, understand modern data architecture patterns, and care about data quality, performance, and maintainability.
задачи
Design, build, and maintain scalable ELT pipelines
Implement and operate data workflows using AWS, including Lambda, Step Functions, S3, and Batch
Contribute to the evolution of the Data Platform architecture using the Medallion architecture
Ensure data quality, consistency, and reliability across pipelines
Optimize data transformations for performance and cost efficiency
Collaborate with Backend and Frontend Engineers and Product to define data requirements
Monitor pipelines, troubleshoot issues, and improve observability
Document data models, transformations, and architecture decisions
требования
Strong Python skills for data processing
Experience building ETL/ELT pipelines in production environments
Solid experience with AWS, especially Lambda, Step Functions, and S3
Understanding of Medallion Architecture
Strong SQL skills and experience with dimensional data modeling
Experience working with structured and semi-structured data, including JSON, CSV, Parquet, and APIs
Understanding of data validation and data quality practices
Experience with Git and CI/CD
Будет плюсом: experience with columnar databases such as ClickHouse, Redshift, or BigQuery, familiarity with infrastructure-as-code such as Terraform, experience with Docker
условия
Локация: Вена
Part of a highly motivated international team
High ownership and responsibility for your domain
Modern data stack and room to shape architecture decisions
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