Назад
Company hidden
4 дня назад

Senior Data Engineer (Azure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Data Engineer (Azure/Spark): Designing and implementing scalable data pipelines and platform components to enable high-quality data solutions across product teams with an accent on reliability, security, and standardization. Focus on building reusable frameworks, driving consistency in ingestion and transformation layers, and optimizing Azure-based data workflows.

Location: Hybrid (London, UK) — must spend at least 2 days a week in the office

Company

hirify.global is a global online retailer for fashion lovers, prioritizing technology and innovation to enhance customer experience.

What you will do

  • Design, build, and maintain scalable data pipelines using Python, Scala, Spark, and PySpark within the Azure ecosystem.
  • Develop reusable data engineering templates, frameworks, and tooling to support distributed data teams.
  • Drive standardization of best practices across data ingestion, transformation, and serving layers.
  • Implement modern data engineering practices, including CI/CD, data quality validation, testing, and observability.
  • Collaborate with Platform, ML Engineering, and Security teams to ensure secure and cost-efficient infrastructure on Azure.
  • Optimize data workflows for maximum performance, reliability, and cost efficiency.

Requirements

  • Strong experience building scalable data platforms as a Data Engineer.
  • Deep expertise in Azure (ADF, ADLS, Databricks) and Delta Lake.
  • Proficiency in Python and/or Scala (PySpark/Spark) for large-scale data processing.
  • Hands-on experience with dbt for transformations and Terraform for infrastructure as code.
  • Solid understanding of the end-to-end data lifecycle and data modeling.
  • Location: Must be based in or be able to commute to London (minimum 2 days/week in office)

Culture & Benefits

  • Exclusive employee discount and access to sample sales.
  • Private medical care scheme and matched pension contributions up to 5%.
  • Discretionary bonus scheme based on group financial and strategic performance.
  • 25 days paid annual leave plus an additional celebration day.
  • Summer hours: finish at 3pm on Fridays during June, July, and August.
  • Personalized learning and career development opportunities.

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 →