Data Engineer

Quick Facts

• B2B cooperation (20,000–24,000 PLN net + VAT)
• Hybrid work model in Wrocław
• Flexible working hours

Description

You will develop and maintain data architecture and dbt-based data models on top of cloud data warehouses. You’ll design, implement, and optimize ETL/ELT pipelines, build data models for analytics, reporting, KPIs, and self-service BI, and ensure data governance, quality, consistency, and reliability. You will also manage data ingestion from source systems, APIs, databases, and CRM/finance/marketing/product applications.

Responsibilities

• Develop and maintain data architecture and dbt-based data models
• Define data engineering standards and best practices for modeling; keep code clean and well-architected
• Design, implement, and optimize ETL/ELT data pipelines
• Collaborate with analytics, product, and cross-functional teams to deliver analytics-ready structure
• Build data model layers for analytics, reporting, KPIs, and self-service BI
• Support Data Governance: data quality, consistency, and reliability
• Assess the current data technology setup and recommend next improvements
• Design, develop, and monitor data ingestion processes into the data warehouse (from systems, APIs, databases, and CRM/finance/marketing/product applications)

Requirements

• Minimum 4 years of experience in Data Engineering
• Very strong SQL
• Practical experience with dbt
• Experience with cloud data warehouses (Snowflake, BigQuery, or similar)
• Experience designing and implementing data models and ETL/ELT pipelines
• Understanding of event data collection and processing (event tracking)
• Experience with BI/analytics tools (e.g., Hex, Looker, Tableau, or similar)
• Ability to independently own technical tasks end-to-end from concept to production
• Comfort working in a dynamic product/technology environment
• Strong focus on code readability, automation, and solution quality
• Education in IT, mathematics, physics, or related quantitative fields

Benefits

• Opportunity to build the Data domain from scratch with real impact on product development
• High autonomy and ownership in designing how the analytics area operates
• Real influence on organizational strategy and decision-making
• Flexible working hours
• Hybrid work in Wrocław
• B2B compensation: 20,000–24,000 PLN net + VAT