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Principal Data Engineer (AWS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal Data Engineer (AWS/Python): Designing and evolving cloud-native data platforms and scalable architectures for a digital retailer with an accent on data lakehouse technologies and engineering standards. Focus on building resilient data pipelines, optimizing system performance, and providing technical leadership across multiple engineering teams.

Location: Hybrid in Liverpool, England, United Kingdom

Company

The team behind digital retailer Very, focused on helping families get more out of life through scalable technology.

What you will do

  • Provide technical leadership across multiple teams and initiatives to guide data transformation.
  • Design and implement scalable, resilient, and secure cloud-native data architectures.
  • Develop and evolve data platforms using AWS services and Lakehouse technologies.
  • Establish engineering standards through code reviews and reusable patterns.
  • Mentor and coach engineers to improve technical skills and practices.
  • Collaborate with Product and Architecture teams to align technical roadmaps with business goals.

Requirements

  • Proven experience building and supporting production-grade data solutions.
  • Expertise in AWS cloud services (S3, EKS, Lambda, SNS, EventBridge, IAM).
  • Strong proficiency in Python and SQL.
  • Experience with data lakes, data warehouses, or Lakehouse architectures.
  • Solid understanding of CDC, data ingestion, and data modelling.
  • Proficiency with version control and CI/CD pipelines.

Nice to have

  • Exposure to Java or Scala.
  • Experience with Iceberg, Starburst, Teradata, or HVR.

Culture & Benefits

  • Flexible, hybrid working model.
  • £1000 flexible benefits allowance.
  • 30 days holiday plus bank holidays.
  • Access to LinkedIn Learning and matched pension up to 6%.
  • Performance-related bonus potential and up to 25% discount on Very.co.uk.

Hiring process

  • Initial 30-minute Teams call with the Data Engineering Manager.
  • Technical take-home task.
  • One-hour technical interview to discuss the task.

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