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# Senior Data Engineer

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £70,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), DevOps, Python (Programming Language), Software Tools, Standard Sql, DataOps, Cloud Platform System, Git, Deployment Automation, Data Management, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-data-engineer/57433535

## About the Role

* At least 3 years prior experience in Data Engineering, Data Platform Engineering or a similar role
 * Strong SQL and Python skills
 * Experience designing and developing scalable ETL/ELT pipelines
 * Strong understanding of data modelling
 * Experience working within cloud platforms such as Azure, AWS and/or GCP
 * Knowledge of Git, CI/CD pipelines and DevOps practices
 * Strong stakeholder communication skills with experience working across technical and non-technical teams, * Git
 * CI/CD
 * Data Engineering
 * ETL/ELT Development
 * Data Architecture
 * Data Modelling
 * DevOps
 * Python
 * SQL
 * Cloud Platforms (Azure/AWS/GCP)

## Description

This is an opportunity to join a growing technology business at the forefront of data, analytics, and AI innovation. As a Senior Data Engineer, you will play a key role in building scalable data platforms, enabling advanced AI capabilities, and helping shape engineering best practices within a collaborative, product-focused environment., Responsibilities include but are not limited to:

 * Design, build and optimise scalable ETL/ELT pipelines across cloud-based data platforms
 * Contribute to data architecture, schema design and data modelling best practices
 * Support CI/CD processes, deployment automation and version-controlled development
 * Integrate AI and machine learning capabilities into production
 * Support the adoption of DataOps best practices
 * Mentor junior engineers and help develop engineering capability across the team
 * Work across a variety of cloud technologies, data platforms and modern engineering tools