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2 дня назад

Senior dbt Analytics Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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