Analytics Engineer – Data Engineering & Power BI

Infinity Quest Limited; Polska; On-site; PLN 180,000 - 300,000; Full time

Job summary

Infinity Quest Limited is seeking an experienced data engineer to build and optimize data pipelines using dbt and Airflow, while delivering robust Power BI dashboards and semantic models. You will translate business needs into scalable data models and reporting solutions, and ensure data quality through validation and reconciliation.

The role requires 10+ years of hands-on data experience, strong SQL and Python skills, and the ability to work independently in a fast-paced environment.

Qualifications

• 10+ years of experience in data engineering or analytics.
• Strong SQL and data analysis skills.
• Proficiency in Python for data pipelines and transformations.
• Hands-on experience with dbt and modern ELT practices; solid data modeling knowledge.
• Experience with Power BI, DAX, dashboards, and analytics storytelling.

Responsibilities

• Build, maintain, and enhance data pipelines and transformation workflows using dbt and Python DAGs in Airflow.
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations; develop Power BI dashboards and semantic models with DAX measures.
• Translate business requirements into appropriate data models and reporting solutions.
• Perform data analysis, validation, reconciliation, and data quality checks.
• Leverage AI tools to enhance productivity on tasks.

Skills

SQL

Data analysis

Python

Data modeling

Communication/Client facing

Tools

dbt

Airflow

Power BI

Snowflake

DAX

Job description

• 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.