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# Senior Data Engineer | £65,000

- **Company:** Pearson Whiffin Recruitment Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £65,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Business Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Microsoft SQL Server, Power BI, SQL Databases, Tableau (Software), Azure Data Factory, Sql Optimization, Snowflake, Data Strategy, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-data-engineer-65000/51351733

## About the Role

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.

## Description

Senior Data Engineer / Analyst £65,000 Hybrid - Mayfair, LondonTHE COMPANYPearson 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 ROLEThis 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., 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