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# AWS Data Engineer

- **Company:** Tenth Revolution Group
- **Location:** London, UK (Remote available)
- **Salary:** £104,000.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Continuous Integration, Data Discovery, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Elasticsearch, Graph Database, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, SQL Databases, Circleci, Pyspark, AWS Data Analytics, Data Lakehouse, Terraform, Data Pipelines, OpenSearch, Amazon Redshift
- **Published:** October 3, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2996395868-2

## About the Role

* Strong commercial experience as a Data Engineer within AWS
 * Expertise in Python, SQL, and PySpark
 * Hands-on experience with dbt
 * Strong experience managing workflows with Apache Airflow
 * Experience with Amazon Redshift
 * Knowledge of modern data lakehouse architectures, including Apache Iceberg
 * Experience with OpenSearch / Elasticsearch technologies
 * Exposure to Knowledge Graphs and graph-based data modelling
 * Experience implementing CI/CD pipelines using CircleCI
 * Strong understanding of data modelling, performance optimisation, and engineering best practices

Desirable

 * Experience with AWS services such as S3, Lambda, Glue, ECS, EKS, or EMR
 * Experience supporting AI, machine learning, or advanced analytics use cases
 * Infrastructure as Code experience (Terraform preferred)
 * Experience working within Agile delivery environments

## Description

We are seeking an experienced AWS Data Engineer to join a growing consultancy on an initial 6-month contract. You'll be responsible for designing, building, and optimising modern data platforms and pipelines, enabling analytics, reporting, and AI-driven initiatives across the business.

This role is ideal for someone with strong AWS experience and a background working with modern data tooling including dbt, PySpark, Airflow, Redshift, Iceberg, OpenSearch, Knowledge Graphs, Python, and CircleCI., * Design and develop scalable ETL/ELT data pipelines using Python and PySpark

 * Build and maintain data transformation frameworks using dbt
 * Develop and orchestrate workflows using Apache Airflow
 * Deliver high-performance data warehouse solutions within Amazon Redshift
 * Support the implementation and optimisation of Apache Iceberg lakehouse architectures
 * Develop and enhance search capabilities using OpenSearch
 * Work with Knowledge Graph technologies to improve data discovery and relationships
 * Implement CI/CD best practices using CircleCI
 * Collaborate with Data Analysts, Product Teams, and Business Stakeholders to deliver high-quality data solutions
 * Ensure data quality, reliability, governance, and scalability across the platform