KUBO is seeking two experienced Data Engineers to join dynamic projects within the insurance and technology sectors. These roles focus on billing, revenue management, and customer experience, requiring a strong technical background in cloud-based data solutions and a passion for working with large-scale datasets.
Key responsibilities
- Design, build, and maintain robust data pipelines using Microsoft Fabric and Azure.
- Develop efficient data-processing and transformation solutions utilizing Python, PySpark, and SQL.
- Integrate data from diverse systems to prepare reliable datasets for reporting and business analytics.
- Collaborate with stakeholders to translate business requirements into scalable technical solutions.
- Ensure high performance of data pipelines and maintain clean, well-documented code.
Requirements
- Professional experience as a Data Engineer with a strong command of Python and PySpark.
- Advanced SQL skills, including complex query development and performance optimization.
- Hands-on experience with Microsoft Fabric and Azure cloud environments.
- Proven ability to model data and prepare it for BI and reporting purposes.
- Strong communication skills in English, enabling effective collaboration within an international team.
What we offer
- Fully remote work environment allowing you to work from any location.
- Engagement on a B2B contract basis with an initial 6-month project duration.
- Opportunity to work on impactful projects involving large-scale data architecture.
- A structured recruitment process focused on technical expertise and professional growth.