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4 дня назад

Senior Analytics Engineer (Cybersecurity)

Формат работы
remote (только United_kingdom)
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

Текст:
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TL;DR
Senior Analytics Engineer (Cybersecurity): Building and maintaining analytical data models, datasets, and semantic layers for the Immersive One cybersecurity platform with an accent on data quality, observability, and model optimisation. Focus on designing customer-facing reporting data, mitigating upstream product changes, and mentoring engineers on software development practices.

Location: Remote within the United Kingdom; company hub in Bristol, UK

Company

hirify.global develops hirify.global One, a cybersecurity platform that helps organisations test cyber resilience, validate AI-enabled workflows and agents, and improve readiness through realistic simulations and evidence.

What you will do

  • Design, build, maintain, and refactor analytical data models and high-quality datasets in the data warehouse.
  • Lead initiatives focused on data quality, observability, and model optimisation.
  • Collaborate with Data Engineers, Data Analysts, and Software Engineers to deliver customer-facing reporting and valuable insights.
  • Assess and mitigate the impact of upstream product changes.
  • Develop semantic layers for business intelligence using domain knowledge.
  • Mentor junior engineers on the software development lifecycle and engineering best practices.

Requirements

  • Proficiency in transforming, testing, and documenting data while maintaining robust data lineage.
  • Knowledge of data modelling, data access, and data storage techniques.
  • Experience with software engineering best practices, including version control and continuous integration.
  • Strong proficiency with SQL in cloud data warehouses, including Snowflake, and comfort with performance optimisation, data partitioning, and window functions.
  • Ability to work effectively and autonomously across multiple teams in ambiguous situations with high-level direction.
  • Experience with dbt for the data transformation layer.
  • Experience with business intelligence tooling such as Power BI or Looker.

Nice to have

  • Experience with AWS, Azure, or GCP.

Culture & Benefits

  • Flexible and remote working, including flexible start and finish times, reduced hours, and job-share options.
  • 25 days of annual leave, two volunteering days, birthday leave, and up to 30 days of annual leave after five years.
  • Enhanced parental leave, mindfulness groups, critical illness cover, a 7% matched pension, and private healthcare.
  • Career and learning development through the company platform and the Learn Anything fund.
  • Inclusive, collaborative, customer-centric culture with agile multidisciplinary teams, Hack Weeks, monthly socials, and sports clubs.
  • Bristol hub railcard loan and cycle scheme.

Hiring process

  • The recruitment process is described on hirify.global's careers page.

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