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# Data Engineer

- **Company:** Click
- **Location:** Surrey, UK (Remote available)
- **Salary:** £156,000
- **Contract:** Temporary contract
- **Skills:** Sql Data Warehouse, Airflow, Amazon Web Services, Data Analysis, Software Quality, Continuous Integration, Data Architecture, Data Systems, Python (Programming Language), Machine Learning, Software Architecture, Standard Sql, Software Engineering, Data Streaming, Cloud Platform System, System Availability, Infrastructure Automation Frameworks, Real Time Data, Terraform, Amazon Redshift
- **Published:** November 7, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-7E682EA079D8A2E11B/

## About the Role

* Strong commercial Data Engineering experience, including technical leadership or mentoring
 * Proven experience designing and building cloud-based data platforms on AWS
 * Strong hands-on Python and SQL skills
 * Production experience with dbt
 * Experience with Amazon Redshift or a comparable cloud data warehouse
 * Experience with Apache Airflow or similar orchestration tooling
 * Infrastructure as Code experience, ideally Terraform
 * Strong knowledge of CI/CD and modern software engineering practices
 * Experience building production-grade batch and streaming data pipelines
 * Strong understanding of data modelling, quality, observability and operational reliability
 * The ability to communicate technical decisions clearly to both technical and non-technical stakeholders

This would suit a pragmatic Lead Data Engineer who is comfortable setting direction, making architectural decisions and remaining technically hands-on.

## Description

* Define the technical direction for an AWS-based data platform
 * Design and deliver scalable, reliable and cost-effective data solutions
 * Build and optimise batch and Real Time data pipelines
 * Own and evolve the wider data architecture
 * Establish engineering standards across code quality, testing and governance
 * Improve data quality, observability, monitoring and platform reliability
 * Drive the adoption of Infrastructure as Code, CI/CD and automation
 * Develop robust data models supporting reporting, analytics, product insights and machine learning
 * Lead technical delivery, incident resolution and root cause analysis
 * Mentor Data Engineers and support the development of the wider team
 * Work closely with analysts, data scientists and business stakeholders