Data Engineer
Austria Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at helu. Austria · full-time.
Pay not stated Data Engineer salary
RoleData Engineering
SeniorityMid-level
LocationAustria
EmploymentFull-time
PostedSep 1, 2026 · 7w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and run ELT pipelines that support analytics, reporting, and product features
- Operate data workflows on AWS and help shape the platform around Medallion architecture
- Improve data quality and pipeline performance while keeping operating costs efficient
- Work with engineering and product teams to define data needs, then monitor and troubleshoot pipelines
- Record data models, transformations, and architecture decisions
What you bring
- Strong Python and SQL skills, including dimensional data modeling
- Experience delivering production ETL or ELT pipelines and working with cloud services such as AWS
- Understanding of Medallion architecture, data validation, and quality practices
- Experience handling structured and semi-structured data, plus Git and CI/CD
Who this fits
This mid-level role suits you if you want ownership of data pipelines and a say in architecture decisions. The position offers a Vienna workplace or remote work, with quarterly office weeks in Vienna.
From the employer
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.
You are comfortable working with Python, SQL and AWS, understand modern data architecture patterns, and care about data quality, performance, and maintainability.
- 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.
- 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.
Nice to have
- Experience with columnar databases (e.g. ClickHouse, Redshift, BigQuery).
- Familiarity with infrastructure-as-code (e.g. Terraform).
- Experience with Docker.
- 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.
- A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna Helu.io.
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