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3 дня назад

Analytics Engineer (Databricks)

Формат работы
onsite
Тип работы
fulltime
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

Analytics Engineer (Databricks/BigQuery): Enabling data access, platform operations, and analytical data modelling across hirify.global's international data ecosystem with an accent on scalable data models, transformation layers, and self-service analytics. Focus on designing robust data pipelines, optimizing workflows, and delivering high-impact BI outputs in large-scale cloud environments.

Farringdon, London, United Kingdom

Company

hirify.global Entertainment is the world’s leading live entertainment company, including Ticketmaster and hirify.global Concerts, promoting shows, festivals, and events globally.

What you will do

  • Lead and evolve the Databricks analytics platform for scalable, governed data.
  • Manage and optimise data workflows across Databricks and BigQuery, including migrations.
  • Design and implement scalable, reusable data models and transformation layers using SQL and Python.
  • Develop core analytical datasets for customer, behavioural, and reporting layers.
  • Support BI solutions in Tableau and Google Data Studio with performant connections and dashboards.
  • Enable analysts via data access, query optimisation, and best practices; manage platform configurations.
  • Partner with stakeholders to standardise metrics and contribute to AI-assisted data initiatives.

Requirements

  • Proven experience in Analytics Engineering or data modelling/BI engineering with platform ownership.
  • Expertise designing robust data pipelines, modular models, and scalable datasets in cloud environments.
  • Strong hands-on with Databricks, BigQuery, advanced SQL (Python a plus).
  • Experience across data lifecycle: ingestion, transformation, modelling, visualisation.
  • Delivery of production-grade BI outputs (Tableau, Looker Studio) and semantic layers.
  • Platform administration, performance optimisation, data quality, governance.
  • Stakeholder collaboration with Data Engineering, Analytics, and regional teams.

Culture & Benefits

  • Tickets to shows and festivals, unlimited annual leave.
  • Beautiful office in Farringdon with gym, fitness classes, arcade games, coffee bar, subsidised lunches.
  • Regular staff events, speakers, open mic nights.
  • Inclusive environment encouraging work-life balance and professional development.

Hiring process

  • Applications close Sunday 17th May 2026; early application encouraged.

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