AWS Data engineer (Outside IR35/Remote)

Tenth Revolution Group; City Of London; Remote; GBP 70,000 - 100,000; Part time

Job summary

Tenth Revolution Group, partnering with a leading financial services client, seeks an AWS Data Engineer for a remote UK-based six-month contract with potential extension. The role focuses on building cloud-native data pipelines and analytics on AWS, employing DBT, PySpark, Airflow, and Redshift to deliver robust data products.

You will contribute to data modelling, governance and testing, with exposure to Iceberg, OpenSearch, and Knowledge Graph concepts, plus CI/CD via CircleCI.

Qualifications

• Strong AWS data engineering experience.
• Hands-on experience with DBT and PySpark.
• Proven Python development skills.
• Experience with Apache Airflow for orchestration.
• Strong knowledge of Amazon Redshift.
• Experience with Apache Iceberg and modern data lake architectures.
• Familiarity with OpenSearch for search and analytics solutions.
• Exposure to Knowledge Graph technologies and semantic data modelling.
• CI/CD experience using CircleCI.

Responsibilities

• Design and develop scalable data pipelines and ETL processes.
• Build and optimise cloud-native data solutions on AWS.
• Develop data models and transformations using DBT and PySpark.
• Automate deployments and testing through CI/CD pipelines.
• Work closely with stakeholders to deliver high-quality data products.

Skills

AWS data engineering

DBT

PySpark

Python

Apache Airflow

Amazon Redshift

Apache Iceberg

OpenSearch

Knowledge Graph

CI/CD

Tools

DBT

PySpark

Python

Apache Airflow

Amazon Redshift

Apache Iceberg

OpenSearch

CircleCI

Job description

Remote (UK based candidates only) Initial 6-Month Contract Outside IR35 Possibility for extension

We're working with a consulting client who's partnering with a leading financial services organisation looking to hire an AWS Data Engineer to help build and enhance their cloud-based data platform.

Key Skills Required

• Strong AWS data engineering experience
• Hands-on expertise with DBT and PySpark
• Proven Python development skills
• Experience with Apache Airflow for orchestration
• Strong knowledge of Amazon Redshift
• Experience with Apache Iceberg and modern data lake architectures
• Familiarity with OpenSearch for search and analytics solutions
• Exposure to Knowledge Graph technologies and semantic data modelling
• CI/CD experience using CircleCI

Responsibilities

• Design and develop scalable data pipelines and ETL processes
• Build and optimise cloud-native data solutions on AWS
• Develop data models and transformations using DBT and PySpark
• Automate deployments and testing through CI/CD pipelines
• Work closely with stakeholders to deliver high-quality data products

Desirable

• Previous experience within financial services, banking, or other regulated environments
• Knowledge of data governance and data quality best practices