Data Engineer

• 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.

Responsibilities

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows using AWS (Lambda, Step Functions, S3, Batch, etc.).
• Contribute to the evolution of our Data Platform architecture (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.
• Your skills

Requirements

• Strong Python skills for data processing (ideally familiar with Polars or PySpark)..
• Experience building ETL/ELT pipelines in production environments.
• Solid experience with Cloud services - ideally AWS.
• Understanding of Medallion Architecture.
• Strong SQL skills and experience with dimensional data modeling.
• Experience working with structured and semi-structured data (JSON, CSV, Parquet, APIs).
• Understanding of data validation and data quality practices.
• Experience with Git and CI/CD.
• Being part of a highly motivated international team.
• High ownership and responsibility for your domain.
• A modern data stack and room to shape architecture decisions.

Preferred

• Experience with columnar databases (e.g. ClickHouse, Redshift, BigQuery).
• Familiarity with infrastructure-as-code (e.g. Terraform).
• Experience with Docker.

You can expect

A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna Helu.io