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# Senior Data Engineer | £60,000

- **Company:** Pearson Whiffin Recruitment Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £55,000.0 - £60,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Business Systems, Databases, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Azure Data Factory, Sql Optimization, Snowflake, Data Strategy, Data Analytics, Data Management, Data Inconsistencies, Data Pipelines, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5925143016

## About the Role

* Minimum 3 years' experience in a Data Engineering, BI or Analytics position
 * Proven hands-on experience with Azure Data Factory
 * Strong working knowledge of Snowflake
 * Advanced SQL and database experience
 * Experience developing ETL/ELT processes and data pipelines
 * Reporting and visualisation experience using Tableau or Power BI
 * Knowledge of Python or a comparable programming language
 * Experience handling large datasets from multiple sources
 * Confidence communicating technical findings to non-technical stakeholders
 * Ability to manage projects independently and recommend improvements

Previous experience contributing to data strategy, improving reporting environments or modernising existing data infrastructure would be particularly valuable.

Rather than joining a large data department with established processes, you'll have the opportunity to help shape how data is managed and utilised throughout the business.

You'll work across both engineering and analytics, gaining exposure to business-wide projects and contributing directly to how the organisation develops its data strategy.

## Description

The business is looking to strengthen its data capabilities, moving away from traditional reporting methods towards a more connected, efficient and insight-driven approach.

You'll play an important role in improving how information is collected, structured and used across the organisation, working closely with senior stakeholders to support strategic decisions.

With a small, collaborative technology team, this position offers genuine autonomy and the opportunity to make a visible impact.

This is a varied position combining data engineering, business intelligence and analytics, with responsibility for developing the organisation's data capabilities.

Your responsibilities will include:

 * Building and optimising data integration workflows using Azure Data Factory
 * Developing and managing data solutions within Snowflake
 * Connecting information from multiple business systems into reliable datasets
 * Improving existing BI dashboards and reporting capabilities
 * Using SQL to extract, transform and analyse complex information
 * Identifying data inconsistencies and improving overall data accuracy
 * Working directly with business departments to understand reporting challenges
 * Producing meaningful insights to support commercial and operational decisions
 * Supporting future developments involving AI and advanced analytics