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У роли понятная senior-специализация и актуальный стек, но формат IT-партнёра может означать работу в рамках клиентских программ.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior dbt Analytics Engineer (dbt/SQL/PySpark): Designing and optimizing scalable data transformation pipelines and modern data models with an accent on data quality, automated testing, and large-scale processing. Focus on translating legacy processing logic into reliable transformations, optimizing distributed workloads, and promoting dbt best practices.
Location: Brussels, Belgium
Company
hirify.global is an IT and digital transformation partner serving European Institutions and agencies with mission-critical digital solutions. It is part of the Cronos Group and supports long-term EU programmes through expertise across Belgium, Luxembourg, and the Netherlands.
What you will do
Design, develop, maintain, and optimize reliable, scalable data transformation pipelines and dbt projects.
Build modern data models using dbt, SQL, and PySpark for large-scale data processing.
Implement data quality checks, automated testing, and regression validation.
Translate business requirements and legacy processing logic into modern data transformations.
Document solutions and promote dbt best practices within the team.
Requirements
EQF Level 6 or higher in Computer Science, IT, Systems Engineering, or a related field.
Strong hands-on experience with dbt, preferably dbt Core.
Advanced SQL skills and solid experience with modern data modelling.
Practical experience with PySpark, Apache Spark, and Apache Iceberg.
Familiarity with Git, CI/CD, automated deployment, and job orchestration.
Strong analytical, problem-solving, communication, and documentation skills.
Nice to have
Experience optimizing Spark jobs and distributed data workloads.
In-depth Apache Iceberg knowledge, including schema and partition evolution, snapshots, and performance optimization.
Experience with orchestration tools such as Dagster.
Knowledge of SAS-based ETL and experience migrating legacy SAS workflows to dbt and PySpark.
Experience working in international and collaborative environments.
Culture & Benefits
Work on mission-critical EU programmes requiring reliability, scalability, and innovation.
Collaborate within a human-scale structure backed by a large European technology ecosystem.
Work with modern data and engineering technologies.
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