Data Engineer

• 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

• 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.