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2 дня назад

Senior Data Engineer (Python, Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
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 Data Engineer (Python, Databricks): Developing and operating modern data solutions in a highly regulated, enterprise environment with an accent on data pipelines, Azure services, and cloud-native architectures. Focus on optimizing SQL, building CI/CD pipelines, and integrating event-driven solutions with Kafka and Airflow.

Location: Onsite in Amstelveen, North Holland

Company

hirify.global is an outsourcing company connecting skilled professionals with projects for tech start-ups to global players since 2000.

What you will do

  • Develop and maintain data pipelines using Python (3.11+) and Databricks/PySpark, optimizing SQL for data transformation.
  • Work with Azure services, automate infrastructure using Bicep, and follow Infrastructure as Code best practices.
  • Build and maintain CI/CD pipelines (Azure DevOps preferred) and manage containerised workloads with Kubernetes.
  • Integrate event-driven solutions using Kafka and orchestrate workflows with Airflow.
  • Own the full lifecycle of data engineering solutions, from design to production support, ensuring code quality and performance.

Requirements

  • BSc or MSc in IT, Computer Science, or a related engineering field.
  • Several years of experience as a Data Engineer or Software Engineer in complex environments.
  • Strong understanding of Object-Oriented Programming and design patterns.
  • Independent, accurate, and delivery-focused mindset.
  • Proactive approach with a strong sense of ownership and analytical problem-solving skills.

Nice to have

  • Experience with advanced Azure services and security hardening.
  • Knowledge of cloud-native architectures and microservices.
  • Familiarity with financial risk systems or IFRS9 processes.

Culture & Benefits

  • Work in a collaborative Agile/Scrum team environment.
  • Opportunity to work in complex, enterprise-scale environments.
  • Empowered to own the full lifecycle of data engineering solutions.
  • Strong focus on connecting skilled professionals with impactful projects.
  • Support from an international and local network of professionals.

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