PBI Developer

We are a full-cycle software development company delivering high-performing solutions and services designed to answer the specific needs of each of our clients. We are specialized in data management web, mobile and BI applications based on Microsoft or IBM technologies, on cloud or on-premise.

Requirements

What we are looking for:

aEURc Good knowledge of Power BI Desktop, DAX Studio, MS Fabric and experience with data

modeling.

aEURc 3+ years of experience in Business Intelligence or Data engineering field

aEURc Databricks, Azure Data Lake Storage, Azure Data Factory, Azure Synapse knowledge might

be a plus, but not mandatory

aEURc Strong analytical, communication skills and attention to detail

aEURc Excellent time management and organizational skills, meet deadlines, and manage multiple

tasks simultaneously

aEURc Collaborative attitude towards working within a development and support team

aEURc Good use of English language (written and speech)

Responsibilities

We are looking for a Power BI Developer who will be responsible for ongoing operations on the

Business Intelligence department, according to best practices. If you want to work in an

environment where business meets technology, understand clientsaEUR(TM) needs and translate them into

BI solutions, then weaEUR(TM)d like to meet you!

Your Daily Responsibilities Will Include

aEURc Design, build, and maintain scalable BI reports using Power BI.

aEURc Develop semantic layers and metrics frameworks that ensure consistent definitions and trusted

reporting.

aEURc Translate complex business requirements into intuitive, high-performance analytics solutions.

aEURc Optimize dashboards for usability, performance, and self-service adoption.

aEURc Manage Power BI tool governance, access controls, and usage monitoring.

aEURc Design and maintain analytical data models (fact/dimension tables, star schemas).

aEURc Write advanced SQL for transformations, aggregations, and performance optimization.

aEURc Partner with Data Engineering to improve data pipelines, table structures, and refresh

strategies.

aEURc Ensure data accuracy, consistency, and reliability across reporting layers.