About the Job

Hey! Nice to see you!

Let’s share our stories to get to know a bit better…. We are business and technology enthusiasts constantly hungry for new challenges, self-, and others-development and nothing motivates us more than great software products and happy customers.

At Incubly, we believe that great people want to work with great people, so we started to build a company that would attract great minds and allow us to achieve everything without feeling that we work but just having fun….

Our mission is to mainly support tech companies and startups (scaleups) in fast, high-quality scaling up of their teams and boosting their product development, testing, and deployment so that we can succeed together.

We are now working with a global leader within the parking industry to revolutionize urban parking further. With their award-winning app, they have been helping drivers save time and money since 2001, and through this partnership, we’re taking our efforts to the next level.

We’re looking for an experienced Analytics Engineer to join our growing data organization. In this role, you’ll play a key part in shaping our future as a data-first company by building high-quality, well-documented data models that power analytics and decision-making across the organisation.

Your daily responsibilities

• Develop, own and maintain core data models in dbt
• Transform data to accurately represent business entities and processes, creating a foundation for analytics
• Apply data tests and unit tests to monitor and prevent data quality issues
• Ensure data models are well-documented to facilitate understanding and usage across teams

We need you to have

• Expertise in SQL and dbt
• Strong data modeling skills, with a focus on building scalable and maintainable models
• Experience implementing data testing within analytics workflows
• Ability to work cross-functionally and communicate effectively with data engineers, analysts, and business stakeholders

Would be great if you have

• 5+ years of experience in analytics engineering or a related field
• Experience with slowly changing dimensions and data modeling best practices
• Experience with performance tuning and query optimization in large-scale data environments
• Familiarity with data governance and documentation best practices

 Our Architecture and Technology Stack

• SQL
• dbt
• Git

Our offer

In addition to great company and challenging projects, we can offer much, much more:

• Knowledge sharing within our company
• Agile and friendly atmosphere, non-violent communication and full respect for diversity
• Hybrid work model
• Employment Agreement (UoP)
• Remuneration:  17 000 – 22 000 PLN gross/ month on the Employment Agreement (UoP)