Senior BI Developer

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

You will be:

• building and maintaining dashboards using Power BI on top of Databricks based data,
• designing and implementing semantic and presentation layers for analytics,
• translating business requirements into data models and visualizations,
• ensuring consistency, usability, and performance of dashboards,
• working closely with Data Architects, Data Engineers, and stakeholders,
• optimizing queries and data models for reporting performance,
• supporting business users in understanding and using the data.

Your profile:

• proven experience as a BI Developer, Analytics Engineer, or Data Visualization Engineer,
• strong experience with Power BI,
• experience working with Databricks or similar data platforms,
• strong SQL skills,
• experience building end to end dashboards for business users,
• experience working with Azure based data environments,
• experience designing semantic models (for example tabular models),
• experience working with data from enterprise systems (for example CRM),
• understanding of data modelling concepts for analytics,
• ability to translate business requirements into dashboards and metrics,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

Work from the European Union region and a work permit are required.

Nice to have:

• experience with performance optimization of Power BI reports,
• basic Python knowledge for data exploration,
• familiarity with data governance and access control in BI tools,
• experience in enterprise or regulated environments,
• exposure to energy or utilities domain,
• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision