Senior BI Full Stack Developer with Power BI and Data Engineering, Global Development Data Platform

Remote.Bulgaria
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Днепър
Киев
Клуж-Напока
Краков
Ларнака
Лвов
Лодз
Люблин
Одеса
Рига
София
Харков

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Client

Our client is a well-known British Asset management company.

Project overview

You will contribute to a data and analytics platform that supports strategic decision making within international development initiatives. The product focuses on transforming diverse data sources into reliable insights and analytical models that help guide sustainable economic programs.

Team

You will join a cross functional team of data engineers, BI developers, data modellers, and analytics specialists. The team works collaboratively, follows structured delivery practices, and partners closely with business stakeholders to refine requirements and improve data quality across the platform.

Technology stack

Power BI
Enterprise data warehouse
SQL
Data engineering tools
Data modelling practices
ETL pipelines
Version control tools
Cloud based data services

Responsibilities

Build and maintain Power BI solutions including data models, visualisation layers, and reporting logic
Design and develop data pipelines that move and transform data into the enterprise data warehouse
Apply data modelling practices to support analytical tasks and reporting structures
Collaborate with analysts and data owners to clarify requirements and align on business logic
Improve BI architecture by refining data flows and optimising performance
Validate data quality and ensure consistency across source systems and analytical layers
Document data structures, workflows, and modelling decisions in a clear and accessible way

Requirements

Experience building data warehouses and semantic models
Experience developing BI solutions using Power BI
Experience with SQL
Ability to collaborate with technical and non technical stakeholders
Ability to work independently within a structured delivery process

Nice to have

Experience working in teams that use Scrum or Kanban practices
Experience designing or maintaining ETL processes
Experience supporting environments with complex or high volume datasets
Experience in the financial domain

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