Senior Data Engineer — AI-Powered Data Platform & BI

BlackLine; Kraków; On-site; PLN 180,000 - 260,000; Full time

Job summary

BlackLine in Krakow is seeking a Senior Data Engineer to join the AI-powered Invoice-to-Cash data platform. You will design and deliver ELT/ETL pipelines, models, and reports that empower customers and internal teams to make data-driven decisions.

You will work on Snowflake data modeling, Power BI reporting, and end-to-end data architecture, collaborating with software engineers, product managers, and finance stakeholders across time zones.

Qualifications

• Strong hands-on experience with Snowflake data modelling, performance tuning, cost optimisation, and governance features.
• Solid Power BI proficiency: semantic models, enterprise reports, row-level security, incremental refresh.

Responsibilities

• Design, implement, and maintain robust ELT/ETL pipelines moving data from microservices, event streams, and third-party sources into analytics-ready datasets on Snowflake.
• Develop enterprise-grade Power BI reports and dashboards, building semantic models and governance for internal and customer-facing analytics.
• Contribute to end-to-end data architecture on Snowflake from ingestion to serving, ensuring scalability and cost efficiency.
• Promote AI-driven development tools to accelerate pipeline development and improve data quality and velocity.

Skills

SQL

Python

Data modeling

AI tooling

Data quality

Communication

Independent work

Tools

Snowflake

Power BI

dbt

Apache Airflow

Azure Data Factory

Azure Synapse

Azure Data Lake

Kafka

Job description

BlackLine in Krakow is seeking a Senior Data Engineer to join the AI-powered Invoice-to-Cash data platform. You will design and deliver ELT/ETL pipelines, models, and reports that empower customers and internal teams to make data-driven decisions.

You will work on Snowflake data modeling, Power BI reporting, and end-to-end data architecture, collaborating with software engineers, product managers, and finance stakeholders across time zones.