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Power BI Engineer

Softeta
CompanySofteta
CategoryEngineering
LocationKraków
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted30 Jul 2026
Last verified3 Aug 2026
SourceEmployer career page (workable)
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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.
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