Senior Data Engineer/Analyst
Small Luxury Hotels of The World Limited
London, UK
18 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Information Engineering
Data Governance
Python (Programming Language)
Microsoft SQL Server
Power BI
Tableau (Software)
Data Processing
Azure Data Factory
Information Technology
Data Analytics
Data Pipelines
Job description
Small Luxury Hotels of the World is a global brand that delivers reservation services for small luxury independent hotels around the world. We are currently recruiting for a Senior Data Engineer/Analyst to improve and expand our data team. As part of a small IT & Data team, the responsibilities of the Senior Data Engineer/Analyst role include (but are not limited to) the following, * Manage existing data pipelines to support analytics and data processing needs.
- Design and implement new scalable and robust pipelines as required.
- Monitor, troubleshoot, and improve data pipeline performance.
- Ensure data quality and consistency.
- Assist in developing and maintaining data AI strategies to allow for self-serve reporting in the wider organisation.
- Integrate data from multiple internal and external sources.
Data Analysis
- Create advanced dashboards, reports, and visualizations for both the management team and member hotels.
- Conduct ad hoc analyses to support business initiatives.
- Translate business requirements into analytical solutions.
- Present findings and recommendations to management and business teams.
Requirements
- Demonstrable experience in Azure Data Factory.
- SQL Server.
- Data visualisation tools such as Tableau or PowerBI.
- Snowflake.
- Python, or other data focused programming language.
- Excellent Data Analysis skills.
- Strong analytical and problem solving skills.
- Ability to manage multiple tasks and respond to changing priorities.
- Knowledge of data governance, privacy, and regulatory requirements.
- Travel/hospitality experience preferred but not essential.
- Bachelor’s degree (or higher) in Computer Science, Data Science, Mathematics or a related field.
- 3+ years of experience in data engineering, data analytics, or a similar role.
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