Power BI Engineer

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SOFTETA

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

☁️ SaaS

🤝 B2B

Consulting • SaaS • B2B

SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.

📋 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.