Analytics Engineer

At EasyPark, we love cities. We love them for work, for play and everything in between. That’s why our mission is to make life in cities that much easier – by taking care of the parking. With the use of technology, we break barriers, helping improve the urban experience. Our aim is to create a scenario where parking supply and driver demand are balanced not due to additional parking spots and fewer cars, but thanks to predictive technology that connects our users to available spots.

About the Role

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.

Sitting at the intersection of data engineering and analytics, you'll transform raw data into reliable, structured datasets that represent core business entities and processes. You'll work closely with business stakeholders and collaborate with teams across Data Engineering, BI, Product Analytics, and Data Science to ensure our data foundation is scalable, trusted, and aligned with business needs.

Key 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
  
  What We're Looking For
  Must-Have Skills
• 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
  
  Preferred Qualifications
• 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
  
  Who You Are
• Highly collaborative and comfortable working with different teams
• Curious about business processes and how data can drive decision-making
• Strong business acumen, understanding how data impacts various functions
  
  Why Join Us?
• Work remotely with an optional office space available
• Be part of a data-driven culture that values high-quality analytics
• Opportunity to shape the data foundation of a large-scale tech company
  
  Location: This role follows a hybrid-remote setup and is based in Poland, with a primary focus on Łódź.

Life at EasyPark

We are a values-driven company with an international culture and a global presence. By providing an environment with space to grow and room for autonomy, we believe in encouraging and supporting our team members to take initiatives and act outside of their comfort zone. To have an open mind and embracing change is a part of our DNA. At EasyPark we are dedicated to maintaining an open culture where the voice of each person is heard, and we play as one team across the globe. Diversity is something we celebrate and we are committed to creating an inclusive environment for everyone.