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# Senior Data Engineer

- **Company:** AJ Walter Aviation
- **Location:** Horsham, United Kingdom
- **Experience:** Expert
- **Salary:** £45,799
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, SQL Databases, Data Streaming, Workflow Management Systems, Data Analytics, Data Management, Data Pipelines
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5954035915

## About the Role

* Proven experience designing, building and maintaining production-grade data pipelines (ETL/ELT) within modern cloud-based data platforms.
 * Strong SQL expertise and data modelling capabilities, with hands-on experience using cloud data warehouses and data transformation/orchestration tools.
 * Demonstrated ability to integrate data from multiple sources to create scalable and reliable data solutions.
 * Highly analytical, methodical and detail-oriented approach to problem-solving.
 * Comfortable collaborating with cross-functional engineering teams beyond traditional BI and reporting environments.
 * Strong communication skills, with the ability to clearly explain technical concepts, data decisions and trade-offs to both technical and non-technical stakeholders.

## Description

In this role, you'll build and own the data foundation that AJW's AI products depend on, working within the company's existing cloud data platform. The role closes a gap in dedicated data engineering support for the AI Innovation team, enabling faster and more reliable delivery of AI features.

What you'll be doing:

 * Designing, building and maintaining ETL/ELT pipelines.
 * Writing and optimising SQL, and maintaining data models and schemas.
 * Working with the AI Engineer to understand and meet data needs for AI features.
 * Monitoring data pipeline health and troubleshooting issues.
 * Liaising with the wider Data & Analytics function on architecture and standards.
 * Documenting data flows, quality checks and retention practices