Senior Data Engineer — Hybrid Data Warehouse Lead (Vienna)

Journi GmbH; Wien; Hybrid; EUR 74,000 - 90,000; Full time

Benefits offered by this job

Vacation days

Hybrid work model

Lunch provided

Transport reimbursement Vienna

Team events

MacBook provided

German lessons

Premium Journi membership

Job summary

Journi GmbH in Vienna is seeking a Senior Data Engineer to own our data warehouse and ETL pipelines. You will report to the CTO and work closely with data analysts to build trusted data foundations that empower decisions across Journi.

You will optimize Redshift, connect new data sources, and enable fast dashboards with data marts. The role requires 5+ years in data/backend, strong SQL and Python, and EU work eligibility with willingness to relocate to Vienna.

Qualifications

• 5+ years in data or backend engineering.
• 2+ years owning a data warehouse or ETL end-to-end.
• Excellent SQL and Python.
• Experience with dimensional modeling and analytics.

Responsibilities

• Own the Redshift warehouse and ETL pipelines architecture as the trusted source for core business data.
• Collaborate with Marketing, Finance, Product, and Customer Happiness to turn questions into data models and connect new sources.
• Implement data transformations to support changing metric definitions (e.g., revenue attribution).
• Build data marts to speed dashboards and an MCP server for AI data access.
• Maintain reliable pipelines with monitoring and late-data alerts.
• Share and receive feedback, bringing your expertise to the team.

Skills

SQL

Python

Data modeling

ETL pipelines

Data warehouse

Analytics

Communication

EU work permit

Education

University degree in Data/CS

Tools

Redshift

Snowflake

BigQuery

Job description

Journi GmbH in Vienna is seeking a Senior Data Engineer to own our data warehouse and ETL pipelines. You will report to the CTO and work closely with data analysts to build trusted data foundations that empower decisions across Journi.

You will optimize Redshift, connect new data sources, and enable fast dashboards with data marts. The role requires 5+ years in data/backend, strong SQL and Python, and EU work eligibility with willingness to relocate to Vienna.