Jobs Companies Softeta Data Engineer

Über diese Data Engineer Stelle bei Softeta

Softeta · Vor Ort · Kraków, Lesser Poland Voivodeship, Poland

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 Data 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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