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Pearson Carter Limited

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Senior Data Engineer | £65,000

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Description

Senior Data Engineer / Analyst £65,000 Hybrid – Mayfair, London

THE COMPANY

Pearson Carter is working with a global luxury hospitality organisation that is looking for a Senior Data Engineer / Analyst to help modernise its data and reporting capabilities. The business works with luxury hotels worldwide and holds significant volumes of valuable data across reservations, hotel operations and customer insights. With continued investment in its technology and data function, this is an excellent opportunity to take ownership of data projects, influence business decisions and help shape the organisation's future data strategy.

THE ROLE

This position combines Data Engineering and Data Analysis, offering the opportunity to work across the full data lifecycle.

You'll join a small IT & Data team, helping improve data infrastructure, connect existing systems and turn complex datasets into meaningful business insights.

Key responsibilities:

  • Design, develop and maintain data pipelines using Azure Data Factory and Snowflake

  • Improve data quality, reliability and integration across business systems

  • Develop and enhance reporting solutions using Tableau

  • Work with SQL and large, complex datasets

  • Identify opportunities to improve data processes and reporting

THE CANDIDATE

We're looking for someone with:

  • 3 years' experience in Data Engineering, Data Analysis or a similar position

  • Strong Azure Data Factory experience – essential

  • Strong Snowflake experience – essential

  • Advanced SQL / SQL Server skills

  • Experience building and maintaining ETL/ELT pipelines

  • Experience with Tableau or Power BI

  • Python or another data-focused programming language

We're particularly interested in candidates who enjoy working across both the technical and analytical sides of data, rather than focusing exclusively on one area.

LOCATION &; SALARY

Salary: £65,000

Mayfair, London

Hybrid – minimum 3 days per week in the office

Flexible working hours

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