Data Engineer

• Dizajniraćeš i unapređivaćeš arhitekturu modernih data platformi.
• Definisaćeš kako se podaci prikupljaju, obrađuju i koriste kroz različite sisteme.
• Razvijaćeš rešenja koja su skalabilna, pouzdana i spremna za budući rast.
• Postavljaćeš standarde za kvalitet, bezbednost i upravljanje podacima.
• Sarađivaćeš sa Data Engineering, DevOps i Architecture timovima na donošenju ključnih tehničkih odluka.
• Učestvovaćeš u definisanju pravca razvoja AI i ML platformi.

Senior Data Architect

• Contribute to the development of a shared, reusable data engineering framework — including common pipeline patterns, DBT project structure, Terraform modules, and Python libraries — designed to be adopted consistently across all projects in the digital portfolio.
• Coach and enable other engineers and project teams on how to work with the framework, helping them onboard quickly, apply it correctly, and feed improvements back into the shared codebase.
• Implement data ingestion, transformation, and consumption pipelines on the Microsoft Fabric platform, following architectural patterns and best practices defined in close collaboration with the Staff Data Engineer.
• Build and maintain DBT models for data transformation and modelling, ensuring data quality, consistency, and reusability across B2B digital products.
• Develop and maintain Python-based data engineering components, including custom connectors, utility libraries, and pipeline orchestration logic.
• Manage and evolve infrastructure as code using Terraform, contributing to workspace provisioning, access control, and lifecycle management in line with platform standards.
• Participate actively in technical discussions with the Staff Data Engineer and product teams to translate requirements into well-scoped, implementable solutions.
• Implement monitoring, alerting, and observability for pipelines and DBT jobs.
• Share knowledge, support code reviews, and help establish engineering standards within the team.

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Senior Data Architect

Senior Data Engineer