
Data Engineer for Scalable Solutions
1 day ago
At Altimetrik Poland, we deliver bite-size outcomes to enterprises and startups in an agile way. We focus on core development and innovation-first approach.
We are building a world-class payments platform with a complex ecosystem of payments partners. Our customer is an online marketplace connecting people who want to rent out their homes with those looking for accommodations.
The role requires a strong analytical mindset and technical expertise to design and implement scalable data solutions. You will collaborate across teams to ensure data solutions align with business needs.
Main Responsibilities:
- Build and maintain scalable data models and metrics for fraud detection, safety incident tracking, and ID verification processes.
- Collaborate with Product Managers to translate product requirements into comprehensive logging needs.
- Scope and implement metrics for experimentation, KPI tracking, and operational insights.
- Migrate existing data assets to modern technology stacks.
- Identify, deprecate, and replace legacy data assets with optimized, scalable solutions.
You will have the opportunity to work with:
- Advanced SQL skills for querying and data transformation.
- Proficiency in Python for data analysis, scripting, and automation.
- Hands-on experience with AWS 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.
Benefits:
- 100% remote work or from our hub in Kraków.
- A fast-growing environment.
- Continuous learning opportunities.
- An atmosphere that values trust and empowerment.
- No dress code.
- Private healthcare.
- International projects.
- Small teams.
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