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6 дней назад

Senior Data Engineer

80 000GBP
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

Senior Data Engineer (Cloud/Data): Building and optimizing modern cloud-based data platforms and scalable pipelines with an accent on architecture design, ETL/ELT frameworks, and performance tuning. Focus on shaping the company's data capability from the ground up, implementing robust data models, and integrating AI-driven solutions within a growing technical environment.

Location: Must be based in or able to commute to Leeds for hybrid work

Salary: Up to £80,000 per annum

Company

A growing technology business currently scaling its data capabilities and infrastructure.

What you will do

  • Design and deliver scalable cloud-based data platforms and engineering solutions.
  • Develop high-performance ETL/ELT pipelines and modern data processing frameworks.
  • Contribute to the architecture and technical design of secure, resilient data systems.
  • Optimize data platform performance, reliability, and scalability.
  • Collaborate with software engineers, architects, and product teams on complex technical solutions.
  • Champion engineering best practices including code quality, automation, and CI/CD.

Requirements

  • Must be based in the UK with ability to work in a hybrid capacity in Leeds.
  • Proven experience designing and delivering cloud-native data engineering solutions.
  • Strong expertise with Azure, AWS, or GCP cloud platforms.
  • Advanced programming skills in Python, Scala, or Java.
  • Expert-level SQL skills with a focus on optimization and performance tuning.
  • Deep understanding of data warehousing, data modeling, and distributed processing.

Nice to have

  • Experience with Infrastructure as Code, DevOps, or CI/CD practices.
  • Genuine curiosity in AI and its adoption within modern cloud data solutions.

Culture & Benefits

  • Opportunity to influence the foundation of the data function as the first senior hire.
  • Exposure to a wide variety of projects using modern cloud technologies and AI.
  • Supportive environment with clear opportunities for long-term career progression.
  • Commitment to professional development and technical innovation.

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