Назад
Company hidden
4 дня назад

Data Engineer (Cloud Data Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Denmark
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Engineer (Cloud Data Engineering): Building and maintaining data pipelines, data models, and cloud data architectures for digital marketing, CRM, and business intelligence with an accent on ETL reliability, data quality, and multi-cloud platforms. Focus on optimizing large-scale data transformations, designing monitoring and incident-correction tools, and supporting personalized customer experiences through analytics-ready data.

Location: Copenhagen, Denmark or London, United Kingdom

Company

hirify.global is a global enterprise solutions and technology organization that delivers marketing modernization, CRM, analytics, and personalized customer experience solutions for leading brands.

What you will do

  • Identify, collect, and integrate data from multiple sources by building reliable data pipelines and analytics data models.
  • Develop and optimize code for cost-efficient, maintainable ETL and data transformation workflows.
  • Build monitoring procedures and tools to maintain ETL reliability and data quality.
  • Design processes and tools for diagnosing and correcting ETL incidents.
  • Design cloud data architectures and contribute to data migration projects.
  • Collaborate with CRM developers, data scientists, analysts, product owners, architects, and consultants to support business initiatives.

Requirements

  • Experience in data engineering, big data, business intelligence, or data science.
  • Experience with Spark, Python, Scala, JavaScript, or similar programming technologies.
  • Excellent SQL skills for large-scale data transformation and analysis.
  • Understanding of cloud data warehousing, data pipelines, ETL, and transformation technologies such as Google Dataflow, Looker, dbt, EMR, CI/CD pipelines, and Airflow DAGs.
  • Experience with cloud-based data infrastructure, ideally GCP; AWS or Azure experience is also suitable.
  • Knowledge of database performance tuning, backup and recovery, data quality management, GitHub-based version control, data governance, and visualization tools such as Power BI, Tableau, or Looker.

Nice to have

  • Knowledge of Kubernetes.

Culture & Benefits

  • Work with architects, data scientists, consultants, technology specialists, creative teams, and client teams.
  • Collaborate on digital marketing, CRM, analytics, and personalized customer experience solutions for global brands.
  • Join an international organization operating across multiple markets and offices.
  • Contribute to a respectful and inclusive workplace focused on collaboration and professional growth.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →