Power BI + SQL + DBT + Snowflake Consultant

SoftNice UG; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

SoftNice UG is seeking an Analytics Engineer specializing in data engineering and Power BI. The role combines SQL, dbt, Snowflake, and Power BI to build reliable analytics pipelines and semantic models.

You will translate business requirements into scalable data solutions, develop dashboards, and ensure data quality. Strong Python skills and experience with Airflow are valued in a fast-paced client-facing environment.

Qualifications

• 10+ years of experience in data analytics or data engineering.
• Strong SQL skills and data modeling expertise.
• Hands-on experience with dbt and modern ELT practices.
• Proficiency in Snowflake and Power BI development.
• Excellent communication and client-facing abilities.

Responsibilities

• Build and maintain data pipelines using dbt and Python DAGs in Airflow.
• Develop analytics data models, dashboards, and DAX measures in Power BI.
• Translate business requirements into data models and reporting solutions.
• Perform data validation, quality checks, and issue troubleshooting.
• Collaborate with teams in a fast-paced environment; 10+ years experience required.

Skills

SQL

Power BI

Python

dbt

Snowflake

DAX

Data modeling

Airflow

Tools

Airflow

Job description

Analytics Engineer – Data Engineering & Power BI We are looking for a hands-on Power BI + SQL + DBT + Snowflake Consultant. This is not a Power BI-only role.

Key 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.
• AI Forward - Understand how to marry AI tools to enhance productivity on tasks Required Skills Strong SQL and data analysis skills.
• Strong Python for data pipelines for complex transformations and integrations.
• Hands‑on experience with dbt and/or modern ELT/data transformation practices. Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets.
• Experience working with a modern cloud data warehouse, preferably Snowflake.
• Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations.
• Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements.
• Experience debugging and supporting existing data pipelines and analytics solutions. Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision. Must have below: 10+ Years Experience
• Great Communicator/Client Facing/ Attention to detail Individual Contributor and ability to work as a team.