2 дня назад
Senior Data & Analytics Engineer (Azure/Snowflake)
55 000 - 60 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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