AWS Data Engineer
Summary
A data engineer at a UK consultancy building cloud data platforms for enterprise clients: designs ETL/ELT pipelines and data architectures using Python, SQL, dbt, AWS (S3, Lambda, Glue, RDS, DynamoDB), Databricks and Terraform/CDK, exploring Agentic AI. Client-facing, hybrid from Victoria, London.
Salary: £40,000 - 70,000 per year
Requirements:- 2–4 years experience in Data Engineering
- Strong skills in Python, SQL and DBT
- Hands-on experience with AWS and/or Databricks
- Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB
- Experience with Terraform or AWS CDK, Git and modern development practices
- Strong troubleshooting skills and effective communication with technical and non-technical stakeholders
- Passion for emerging technologies, particularly Agentic AI, and a customer-focused approach
- Design, build and maintain scalable ETL/ELT data pipelines and cloud-based data platforms
- Develop robust data architectures and support the full software development lifecycle
- Build tooling for data ingestion, transformation, orchestration and data quality
- Work directly with clients to understand requirements and deliver high-quality data solutions
- Explore and apply emerging technologies, including Agentic AI, to improve data engineering processes
- Agentic AI
- AI
- AWS
- Lambda
- Cloud
- Databricks
- ETL
- Git
- Support
- Python
- SQL
- Terraform
- dbt
More:
Were recruiting a Data Engineer to join our growing consultancy, delivering production-grade data platforms for some of the UKs leading organisations. This client-facing role involves designing and building scalable cloud-based data solutions using modern technologies, including AWS, Databricks and Agentic AI. We offer structured training, clear career progression and the opportunity to work on complex, enterprise-scale projects. The role is based in London on a hybrid basis, with occasional client travel, and offers a salary of up to £70,000.
last updated 44 week of 2026