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3 дня назад

Senior Analytics Engineer

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 Analytics Engineer (dbt/Databricks): Taking technical ownership of large data initiatives and building scalable data transformations with an accent on data modeling, standards, and architectural direction. Focus on designing robust schemas, ensuring observability and lineage, and coaching engineers on best practices.

Location: London, England, United Kingdom. Hybrid: Minimum 2 days per week in-office (Levels 1-5), 3 days for Level 6+

Company

UK's #1 credit score and report app with 20M+ users globally in UK, South Africa, Australia, and Canada.

What you will do

  • Take technical ownership of large data initiatives, leading end-to-end delivery across components and stakeholders
  • Set and uphold best practices for analytics engineering, including data modeling, dbt patterns, testing, and documentation
  • Lead data model design and architectural discussions, shaping schemas with end-user utility
  • Advise on SQL, dbt, Databricks, and AI transformations at scale, contributing to tooling direction
  • Provide system-level perspective on lineage, workflows, and observability for data flows
  • Coach and mentor engineers via code reviews, discussions, and knowledge sharing
  • Collaborate with Platform and Data Science teams on data products and upstream issues

Requirements

  • Expert in SQL and dbt for robust, scalable data transformations on Databricks
  • Strong experience with data modeling (e.g., Kimball) and leading architectural discussions
  • Ability to set and communicate engineering standards
  • Experience diagnosing production issues and designing pipelines with testing and monitoring
  • System-level view of data lineage and dependencies
  • Strong mentoring, documentation, and communication skills
  • Experience with orchestration tooling like Databricks Workflows

Nice to have

  • Familiarity with data activation tools (e.g., Hightouch) or streaming platforms (e.g., Kafka)

Culture & Benefits

  • 25 paid holidays + duvet day on birthday
  • Private health/dental cover including mental health support
  • GP visits, life assurance, up to 6% matched pension
  • Flexible hybrid work, no clock-watching, focus on outcomes
  • Lunch & Learns, learning/development investment, in-house psychotherapist, financial coach
  • Daily breakfast/snacks, dog-friendly office, sports/social clubs, generous parental leave

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