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11 часов назад

Senior Data Engineer

70 929 - 78 810GBP
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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Описание вакансии

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TL;DR

Senior Data Engineer (Data Science ML): Building and maintaining scalable data applications and telephony channel solutions with an accent on cloud data engineering, batch and streaming data processing, and AI/ML integration. Focus on designing secure, robust data pipelines, leading engineering teams, and delivering features in an Agile environment.

Location: Hybrid working with at least 40% presence in Manchester office, United Kingdom

Salary: £70,929 - £78,810

Company

hirify.global is a leading UK financial institution undergoing a digital transformation with investments in people, data, and technology.

What you will do

  • Lead delivery of new data solutions and features, including design, development, testing, and operational stability.
  • Manage and guide a team of engineers through the full software development lifecycle.
  • Ensure secure coding practices and address code vulnerabilities and PEN testing resolutions.
  • Deliver functional and non-functional requirements in collaboration with product owners.
  • Solve technical problems rapidly and implement software engineering best practices.
  • Work with modern cloud data stacks and integrate advanced AI and ML capabilities.

Requirements

  • Location: Must be able to work hybrid with presence in Manchester office
  • Experience in data engineering on cloud platforms (GCP, AWS, Azure) with batch and streaming processing.
  • Proficiency in programming languages such as Python and Java.
  • Knowledge of orchestration tools (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and databases (BigQuery, CloudSQL, BigTable).
  • Experience with container technologies (Docker, Kubernetes) and infrastructure as code (Terraform).
  • Strong leadership skills with experience leading technical teams.
  • English proficiency: at least B2 level

Nice to have

  • Experience with telephony platforms.
  • GCP Data Engineer or Cloud Architect certifications.
  • Understanding of data security, privacy, and architectural implications.
  • Familiarity with QA and software quality tools like SonarQube.
  • Passion for AI, machine learning, and modern data technologies.

Culture & Benefits

  • Inclusive workplace with focus on diversity and disability confidence.
  • Flexible working arrangements and workplace adjustments.
  • Generous pension contributions up to 15%.
  • Annual performance-related bonus and share schemes.
  • 30 days holiday plus bank holidays.
  • Wellbeing initiatives and generous parental leave policies.

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