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

At KMD, we build digital solutions used by millions of people around the world. These solutions are the digital foundations of our most important institutions, from governments and public services to financial industries and private companies. Our mission is to ensure that they are reliable, accessible, and efficient.

We believe that the future is what you make it. So a career at KMD is a career with purpose and freedom. One where you’ll have a direct hand in improving the lives of people, while being empowered with the resources and autonomy to shape the course of your own professional journey.

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: #Azure

Databricks #Genie #AI

Foundry #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.

Benefits: