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# Data Engineer

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £50,000.0 - £60,000.0
- **Contract:** Permanent contract
- **Skills:** Data Auditing, Information Engineering, Data Integration, Data Integrity, Data Transformation, Data Systems, Data Warehousing, Power BI, Cloud Platform System, Sql Optimization, Snowflake, Data Analytics, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5883752511

## About the Role

* Strong commercial experience in data engineering and data integration.
 * Hands-on experience with DBT.
 * Advanced SQL skills for data transformation and automation.
 * Experience working with Snowflake and cloud-based data platforms.
 * Strong understanding of data modelling and data warehousing concepts.
 * Experience building dashboards and reports using Power BI.
 * Knowledge of data quality assurance, validation processes, and troubleshooting.
 * Strong communication skills with the ability to engage technical and non-technical stakeholders.

## Description

London (1 day per month in office) Up to £60,000 + BenefitsThis is an excellent opportunity for a Data Engineer to join a growing Business Intelligence function and play a key role in shaping analytics and reporting capability across the business. You'll work with modern data technologies, build scalable solutions, and help drive data-led decision making across the organisation.The CompanyThey are a growing organisation investing heavily in their data and analytics capabilities to support business performance and strategic decision making. Their Business Intelligence team is focused on delivering high-quality, scalable data solutions that empower stakeholders with reliable insights. This is a collaborative environment where data plays a central role in driving business success.The RoleYou will:

 * Build and maintain reliable data pipelines that integrate, clean, and structure data from multiple sources.
 * Design and optimise data models to support reporting and analytics requirements.
 * Create scalable data assets that enable business teams to generate actionable insights.
 * Implement data quality controls, validation processes, and error handling to ensure data integrity.
 * Work closely with stakeholders to understand requirements and deliver impactful data solutions.
 * Contribute to the continued development of reporting and analytics capabilities across the business.


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