Senior BI Developer / Databricks + Genie and/or AI Foundry

We are looking for a highly experienced, hands-on Senior BI Developer with deep expertise in Azure Databricks and practical experience applying AI to data solutions. This is a priority recruitment for a senior professional who combines strong modern data knowledge with the motivation to design, build, and maintain solutions directly.

More about the product:

You will contribute to the development and maintenance of a data warehouse environment. Your work will include onboarding new data sources into data pipelines and developing data-focused solutions based on Genie and AI Foundry.

Tech Stack in the project:

#AzureDatabricks #Genie #AIFoundry #SQL

Your responsibilities:

• Develop and maintain the data warehouse.
• Add new data sources to existing data pipelines.
• Configure and develop solutions based on Genie and AI Foundry.
• Work hands-on with modern data and AI technologies

Personal Requirements:

• Very strong, senior-level experience with Azure Databricks.
• Practical experience with Genie and/or AI Foundry.
• Experience using AI in a data context.
• Motivation to remain hands-on while working at senior level.
• Knowledge of modern data solutions.
• At least basic SQL skills.
• Advanced SQL skills are an advantage.

How do we work?

We follow Agile principles in our work – we generally work in bi-weekly iterations and produce production-ready functionalities at the end of each iteration. In some cases, we work in a project mode.

• We work as a team and help each other out.
• We work across the company, touching different business areas, solutions and technologies.
• We have end-to-end responsibility for the features we develop – from business requirements, through design and implementation up to running features on production.
• Our team is cross-functional (7 people) – we develop, test, build solutions and pipelines, maintain features they have built and are in contact with internal stakeholders.
• More than 50% of our work is spent on new product features.
• Teams’ own domains in the solution and the corresponding system components.
• We value feedback and continuously seek improvements.
• We value software best practices, expertise and craftsmanship.