Power BI Engineer
- Role
- Data Engineering
- Company size
- Mid-size
Open to PL only. Set where you work from to check your eligibility.
No BS summary
Power BI Engineer for retail/tourism client work in Poland, with Power BI dashboards, DAX, SQL, dbt, and Snowflake/cloud data warehouse experience. Must have fluent written and spoken English.
Core skills
Required skills
Optional skills
Required languages
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.
What you'll do
- 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.
What they require
- 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.
- Preferred: 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.
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.
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.