About this role
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.