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Роль четко связана с масштабной миграцией lakehouse-платформы, а стек актуален и обязанности понятны; возможный компромисс в том, что в консалтинге меньше контроля над долгосрочной стабильностью проекта.
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Работа в консалтингеАктуальный стек данныхПонятная задача
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead DBT Engineer (Data Platforms): Transforming a Spark- and Python-based data platform into a cloud-first, modular architecture centered on dbt, Apache Iceberg, and Lakekeeper with an accent on data transformation, ingestion, and semantic modeling. Focus on consolidating distributed logic, improving data quality and lineage, and supporting migration from Dremio to Starburst for analytics and AI-ready use cases.
Location: Remote in Bulgaria, Poland, or Romania
Company
hirify.global delivers software engineering and technology services.
What you will do
Support the Agora data platform migration to a cloud-first architecture.
Develop and maintain dbt-based data transformation logic and consolidate logic from Spark, Python, and Airflow.
Work with Apache Iceberg and contribute to an open, modular platform built around Lakekeeper.
Support data ingestion across Starburst, Microsoft Fabric, and Snowflake, plus scheduling with dbt and/or Microsoft Fabric.
Improve data quality, lineage, documentation, CI/CD, and platform maintainability.
Support the semantic-layer transition from Dremio to Starburst and analytics modeling with Iceberg views in Lakekeeper.
Requirements
Strong experience in data engineering or analytics engineering and hands-on experience with dbt.
Solid SQL knowledge and experience designing SQL-based transformations.
Experience with modern data platforms and warehouse/lakehouse concepts, including practical Apache Iceberg experience.
Experience with at least some of Spark, Python, Airflow, Starburst, Microsoft Fabric, and Snowflake.
Understanding of data modeling, semantic layers, and analytics-focused data design.
Experience with CI/CD, testing, and data quality practices in data platforms.
Familiarity with data lineage and technical documentation standards.
Ability to work with open, modular architectures that separate storage and compute, and understanding of cloud-first migration challenges.
Strong collaboration and communication skills.
Nice to have
Experience with Lakekeeper and with migrating fragmented transformation patterns to dbt-centered architectures.
Familiarity with Dremio and migration to Starburst.
Experience with ODBC/JDBC-based BI connectivity.
Exposure to AI-ready data platform design principles.
Culture & Benefits
Remote work is available from Bulgaria, Poland, or Romania.
Work in an Engineering & Technology role focused on Data & Analytics.
Collaborate with cross-functional stakeholders on a flexible data foundation for future analytics and AI-driven use cases.
hirify.global is an equal opportunity employer.
Hiring process
Apply through the hirify.global application form; the recruiting contact is Marta Magierowska.
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