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2 дня назад

Senior Data & Analytics Engineer (Azure/Snowflake)

55 000 - 60 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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Описание вакансии

Текст:
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TL;DR
Senior Data & Analytics Engineer (Azure/Snowflake): Building integrated data workflows, Snowflake solutions, BI dashboards, and reliable datasets for a luxury hospitality organisation with an accent on data engineering, analytics, and reporting modernisation. Focus on designing ETL/ELT pipelines, improving data accuracy, analysing complex information with SQL, and supporting AI and advanced analytics initiatives.

Location: Central London, United Kingdom; hybrid working with 3 days per week in the office

Salary: £55,000–£60,000 per annum

Company

An internationally recognised organisation operating in the luxury hospitality sector is modernising its data capabilities and moving from traditional reporting to a connected, insight-driven approach.

What you will do

  • Build and optimise data integration workflows using Azure Data Factory.
  • Develop and manage data solutions in Snowflake.
  • Connect data from multiple business systems into reliable datasets.
  • Improve BI dashboards, reporting capabilities, and data accuracy.
  • Use SQL to extract, transform, and analyse complex information.
  • Produce insights for commercial and operational decisions while supporting future AI and advanced analytics initiatives.

Requirements

  • At least 3 years of experience in data engineering, business intelligence, or analytics.
  • Hands-on experience with Azure Data Factory and strong knowledge of Snowflake.
  • Advanced SQL, database, ETL/ELT, and data pipeline experience.
  • Experience with Tableau or Power BI and knowledge of Python or a comparable programming language.
  • Experience handling large datasets from multiple sources and communicating technical findings to non-technical stakeholders.
  • Ability to manage projects independently and recommend improvements.

Nice to have

  • Experience contributing to data strategy, modernising data infrastructure, or improving reporting environments.

Culture & Benefits

  • Small, collaborative technology team with significant autonomy.
  • Opportunity to shape organisation-wide data management and strategy.
  • Exposure to business-wide engineering and analytics projects.
  • Flexible working hours.

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