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11 часов назад

Senior Fullstack Data Engineer (Azure)

88 000 - 131 000
Формат работы
hybrid
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 Fullstack Data Engineer (Azure): Building and productionizing reliable data pipelines and data products for energy trading across batch and streaming workloads with an accent on Azure, Databricks, Python, SQL, and Spark. Focus on converting analytical prototypes into maintainable production solutions, supporting data platform migration, and strengthening testing, CI/CD, monitoring, and automation.

Location: Rotterdam, Netherlands; hybrid work with 40% in the office, 40% from home, and 20% flexible. With manager approval, work abroad within approved countries is permitted for up to 3 weeks per year, with a maximum of 2 consecutive weeks.

Salary: €88,000–€131,000 gross annual salary, including FlexBudget and an 8% holiday allowance; a bonus or collective profit sharing may apply depending on the role.

Company

hirify.global is pursuing a climate-neutral strategy by 2035 and develops energy solutions for its business and clients.

What you will do

  • Work as an embedded engineer within a business-facing analytics and quantitative team in the energy trading domain.
  • Design, maintain, deploy, monitor, and support Azure-based data pipelines and data products.
  • Build batch and streaming data solutions with Azure Databricks, Python, SQL, and Spark.
  • Convert analyst-developed notebooks and analytical prototypes into tested, maintainable production solutions.
  • Support data platform migration and translate business objectives from analysts and quantitative specialists into scalable technical solutions.
  • Improve testing, CI/CD, automation, monitoring, documentation, data transformations, models, and reporting workloads while providing technical guidance.

Requirements

  • Strong data engineering experience in Azure cloud environments.
  • Hands-on Azure Databricks experience with Spark, Delta Lake, Workflows, and Unity Catalog.
  • Strong Python and SQL skills, including experience with batch and streaming data pipelines.
  • Experience productionizing notebooks and analytical prototypes.
  • Knowledge of testing, code reviews, CI/CD, and software engineering best practices.
  • Experience collaborating with analysts, data scientists, quantitative specialists, or business-oriented teams, plus experience with platform migration or modernization initiatives.

Nice to have

  • Machine Learning Engineering or MLOps experience.
  • Terraform or Bicep experience.
  • Azure monitoring and observability tooling.
  • DataOps practices, orchestration frameworks, dashboard performance optimization, or semantic modeling.

Culture & Benefits

  • FlexBudget can be paid out, used for additional holiday days, or saved.
  • Commitment to personal and professional development.
  • Hybrid flexibility across home, office, and approved work-abroad arrangements.
  • 8% holiday allowance and possible bonus or collective profit sharing.

Hiring process

  • Contact the recruiter to begin the application procedure.

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