Analytics Engineer: Data Pipelines, Modeling & Power BI

VBeyond Corporation; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

VBeyond Corporation is seeking an Analytics Engineer who will work across data engineering and analytics/reporting. This hands-on role covers end-to-end data tasks—from source understanding and transformations to building datasets and Power BI dashboards.

You will own data pipelines with dbt and Airflow, develop data models, and create Power BI reports and DAX measures. Strong SQL, Python, Snowflake, and BI expertise are essential for delivering production-ready solutions.

Qualifications

• 10+ years experience required.
• Individual contributor and able to work as part of a team.
• 100% hands on in the mentioned skills.

Responsibilities

• Build, maintain, and enhance data pipelines and transformation workflows using dbt and python DAG in Airflow.
• Develop clean, reliable, and reusable data models for analytics and reporting.
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations.
• Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
• Translate business requirements into appropriate data models and reporting solutions.
• Perform data analysis, validation, reconciliation, and data quality checks.
• Troubleshoot data issues across the pipeline, from source through transformation to reporting.
• Take ownership of assigned tasks and independently drive them through development, testing, and completion.
• Work closely with business, analytics, and engineering teams to deliver production-ready solutions.
• AI Forward - Understand how to marry AI tools to enhance productivity on tasks

Skills

SQL

Python

Data modeling

DAX

Tools

dbt

Power BI

Snowflake

Airflow

Job description

VBeyond Corporation is seeking an Analytics Engineer who will work across data engineering and analytics/reporting. This hands-on role covers end-to-end data tasks—from source understanding and transformations to building datasets and Power BI dashboards.

You will own data pipelines with dbt and Airflow, develop data models, and create Power BI reports and DAX measures. Strong SQL, Python, Snowflake, and BI expertise are essential for delivering production-ready solutions.