Senior Data Engineer — Data Warehouse & ETL Lead (Hybrid)

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

Benefits offered by this job

25 days off per year

Hybrid work model (40% home office)

Daily meals and fresh lunches

Public transport reimbursement inVienn

Team-building trips

MacBook provided

German lessons (weekly)

Premium Journi memberships

Job summary

Journi in Vienna is seeking a Senior Data Engineer to own our data warehouse and ETL pipelines, reporting to the CTO and partnering with data analysts to empower decisions across the company.

You will architect the Redshift/Snowflake/BigQuery stack, optimize queries, build data marts, and ensure data reliability for Marketing, Finance, Product, and Customer Happiness. 5+ years in data/backend engineering, 2+ years DW/ETL ownership required.

Qualifications

• 5+ years in data/backend engineering with 2+ years owning a data warehouse or ETL pipelines end-to-end.
• Advanced SQL and Python skills with performance tuning on columnar warehouses.
• Experience building reliable pipelines from databases and third-party APIs with testing and monitoring.

Responsibilities

• Own the architecture of our data warehouse and ETL pipelines, shaping data for core business decisions.
• Collaborate with Marketing, Finance, Product, and Customer Happiness to model data for analytics.
• Implement transformations to support changing metrics definitions and revenue attribution.
• Build data marts and an MCP server to provide AI access to reliable data.
• Maintain pipeline reliability with monitoring and alerting for data quality.
• Share knowledge and contribute to team growth with constructive feedback.

Skills

SQL

Python

Data warehousing

ETL

Data modeling

Communication

EU/Austria eligibility

Education

Bachelor's or higher in Data/CS

Tools

Redshift

Snowflake

BigQuery

Job description

Journi in Vienna is seeking a Senior Data Engineer to own our data warehouse and ETL pipelines, reporting to the CTO and partnering with data analysts to empower decisions across the company.

You will architect the Redshift/Snowflake/BigQuery stack, optimize queries, build data marts, and ensure data reliability for Marketing, Finance, Product, and Customer Happiness. 5+ years in data/backend engineering, 2+ years DW/ETL ownership required.