# Power BI Engineer

**Company:** [Softeta](http://jobs.workable.com/companies/pv575cTzKeknAR2ajQFWkf.md)
**Location:** Remote
**Workplace:** remote

[Apply for this job](http://jobs.workable.com/view/f4f6d448-3f09-46bc-800f-8be80b94aab6)

## 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.