Инженер данных

Teya is a payment and software service provider that builds integrated tools for small, local businesses across Europe to accept payments and improve business performance.

• Design and evolve the architecture of the data warehouse and data platform;
• Transform complex data models into scalable, production-ready data products;
• Build, maintain, and improve data models for large and complex datasets;
• Design and optimize ETL/ELT pipelines to support scalable analytics and data products;
• Establish reliable, well-governed datasets as a foundation for analytics and AI/ML use cases;
• Improve data reliability, quality, and observability across key datasets;
• Collaborate with stakeholders to define and deliver high-impact data products;
• Drive automation and improvements across a legacy ETL ecosystem;
• Contribute to engineering standards, documentation, and best practices within the data engineering team;
• Stay informed about modern data platform technologies and industry best practices.

• Strong SQL expertise, particularly in complex analytical and warehouse queries;
• 5+ Years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering;
• Strong experience with data warehousing, dimensional modelling, and data architecture;
• Experience designing and delivering scalable data products;
• Experience with ETL/ELT tooling such as DBT, SSIS, or Wherescape;
• Strong understanding of data pipeline architecture and distributed data systems;
• Proficiency in Python or a similar programming language;
• Understanding of how data platforms support machine learning and AI workflows;
• Strong grasp of software engineering principles and best practices;
• Experience contributing to or leading data warehouse architecture or redesign initiatives;
• Ability to collaborate effectively with technical and non-technical stakeholders.

• Comprehensive benefits;
• Continuous learning opportunities.