Data Engineer/Data Modeler

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes to enterprises and startups from all industries in an agile way to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a strong focus on core development, and an ability to attack the challenging and complex problems of the biggest companies in the world.

Our customer is an online marketplace connecting people who want to rent out their homes with people looking for accommodations in specific locales. Together with them, we are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. They are also reinventing how to serve users to improve performance, scalability and extensibility. 

We are seeking a skilled Data Engineer/Data Modeler to join our team and design and implement various scalable data solutions for our customers providing hospitality and travel services. This role requires a strong analytical mindset, technical expertise, and the ability to collaborate across teams to ensure data solutions align with business needs.

Responsibilities:

• Build and maintain scalable data models and metrics to support variety of UC such as: fraud detection, safety incident tracking, and ID verification processes.
• Collaborate with Product Managers (PMs) to translate product requirements into comprehensive logging needs.
• Scope and implement metrics for experimentation, KPI tracking, and operational insights.
• Migrate existing data assets (pipelines, tables, metrics) to modern technology stacks.
• Identify, deprecate, and replace legacy data assets with optimized, scalable solutions.

And if you possess..

• Advanced SQL skills for querying and data transformation.
• Proficiency in Python for data analysis, scripting, and automation.
• Hands-on experience with AWS (e.g., S3, Redshift, Athena) for cloud-based data management.
• Experience with Airflow for orchestration and Hive for large-scale data processing.
• Strong experience in data modelling, metric design, and data pipeline development.
• Proven ability to work cross-functionally with Product Managers, Engineers, and Analysts.
• Exceptional problem-solving skills and a data-driven decision-making approach.
• Preferred: Experience in fraud detection, safety incident monitoring, or related domains.

… then we are looking for you!

We work 100% remotely or from our hub in Kraków.

🔥We grow fast.

🤓We learn a lot.

🤹We prefer to do things instead of just talking about them.

If you would like to work in an environment that values trust and empowerment... don't hesitate, just apply!