Hands-On Analytics Engineer: SQL, dbt, Python + Power BI

VBeyond Corporation; Poland; On-site; PLN 180,000 - 320,000; Full time

Job summary

VBeyond Corporation is seeking an Analytics Engineer who can bridge data engineering and analytics, structuring end-to-end data tasks from source to dashboard. The role goes beyond Power BI and emphasizes building robust pipelines, models, and reports.

You will own data pipelines with dbt and Airflow, develop data models, work with Snowflake, and craft Power BI dashboards with DAX, ensuring data quality and scalable solutions for business insights.

Qualifications

• 10+ years of hands-on analytics engineering experience.
• Individual Contributor and ability to work as 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

Power BI

dbt

Airflow

Snowflake

data analysis

Tools

dbt

Airflow

Snowflake

Job description

VBeyond Corporation is seeking an Analytics Engineer who can bridge data engineering and analytics, structuring end-to-end data tasks from source to dashboard. The role goes beyond Power BI and emphasizes building robust pipelines, models, and reports.

You will own data pipelines with dbt and Airflow, develop data models, work with Snowflake, and craft Power BI dashboards with DAX, ensuring data quality and scalable solutions for business insights.