Power BI Engineer

SOFTETA; Kraków; Hybrid; PLN 90,000 - 150,000; Full time

Benefits offered by this job

Diverse and technically challenging?

Hybrid/remote workplace model

Flexible schedule

Equipment you can choose

Job summary

Softeta is seeking a Power BI Engineer for a client in the retail and tourism sector. You will develop and optimize Power BI dashboards, model data with SQL and dbt, and ensure scalable reporting across multiple countries.

The role emphasizes AI-powered insights, Snowflake data warehousing, and robust version control using Git. You will collaborate with analytics engineers and the broader data platform team in a hybrid work setup, contributing to multilingual dashboards and efficient data

Qualifications

• Strong Power BI dashboard development and data modeling experience.
• Proficient in SQL and data transformation workflows (dbt).
• Experience with Snowflake or similar cloud data warehouse.
• Familiarity with Git and version control best practices.
• Ability to enable multi-language support in BI solutions.
• Fluent English, written and spoken.

Responsibilities

• Developing new Power BI dashboards to strengthen internal reporting and decision-making.
• Building intelligent dashboards that surface key insights for users.
• Refactoring and optimizing dashboards for maintainability and scale across countries.
• Implementing multi-language support where feasible for international users.
• Supporting analytics engineering in improving dbt models and Snowflake schemas.
• Designing and implementing new dbt models for AI-powered insights in Power BI.
• Improving BI processes with Git-based automation and GenAI documentation.

Skills

Power BI

SQL

Analytics engineering

Data modeling

GenAI tools

Fluent English

Tools

dbt

Snowflake

Git

Job description

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

We are seeking for a Power BI Engineer for our client from the retail and tourism sector.

Job description

• Developing new Power BI dashboards to enhance internal reporting capabilities and support data-driven decision-making
• Building intelligent Power BI dashboards that automatically surface key insights and highlight relevant information for users
• Refactoring and optimizing existing dashboards to improve maintainability, scalability, and enable easier rollout across multiple countries
• Implementing multi-language support for Power BI dashboards where feasible to support international users
• Supporting the Analytics Engineering team in improving and maintaining existing dbt models
• Assisting with the design and implementation of new dbt models in Snowflake
• Preparing and structuring data to enable AI-powered automated insights generation using Power BI and dbt
• Improving report development processes by leveraging Git-based version control, automation, and GenAI-powered documentation for Power BI files

Requirements

• Experience with Power BI, including dashboard development, data modeling, and DAX
• Good understanding of SQL and relational databases
• Hands-on experience with dbt and data transformation workflows
• Experience working with Snowflake or another modern cloud data warehouse
• Familiarity with Git and version control best practices
• Understanding of data modeling concepts and analytics engineering principles
• Interest in AI-powered analytics and experience with GenAI tools is a strong plus
• Ability to optimize, refactor, and maintain BI solutions with a focus on scalability and usability
• Strong analytical and problem-solving skills with attention to detail
• Fluent English (written and spoken)

Benefits

• Diverse and technically challenging projects
• Flexible working hours and a hybrid or remote workplace model
• Flexible schedule and an Agile/SCRUM environment
• Technical equipment that you can choose