£360 Per day
Inside
Onsite
Manchester, UK
Summary: Join a dynamic data engineering team as a Senior Data Engineer, focusing on architecting, delivering, and optimizing modern data pipelines on AWS. The role involves developing scalable solutions, driving best practices, and mentoring junior engineers in a collaborative environment. The position requires extensive experience in data engineering applications and AWS services. The role is based in Manchester with a pay rate of £360 per day.
Key Responsibilities:
- Architect, deliver, and optimize modern data pipelines on AWS.
- Develop scalable solutions and drive best practices.
- Mentor junior engineers within a collaborative trunk-based development environment.
- Build CI/CD workflows using GitHub Actions.
- Utilize orchestration tools like Airflow for data workflows.
- Ensure adherence to coding standards and maintain clean, maintainable code.
- Conduct unit testing using pytest.
- Collaborate through pair programming and peer reviews.
Key Skills:
- 7+ years hands-on experience in Python and PySpark for data engineering applications.
- Deep expertise in AWS services, especially Redshift, Glue, Lambda, and Step Functions.
- Proficient in building CI/CD workflows using GitHub Actions.
- Orchestration experience with Airflow or similar tools.
- Strong command of SQL, including performance optimization and data modeling.
- Solid understanding of infrastructure as code, preferably with Terraform.
- Experience with Docker for development and testing environments.
- Knowledge of Oracle and Qlik Replicate/Compose for source data systems.
- Familiarity with RBAC models and secrets management.
- Unit testing experience using pytest.
- Comfortable with Visual Studio Code as primary IDE.
Salary (Rate): £360 per day
City: Manchester
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Role Title: Data Engineer - AWS
Location: Manchester
Duration: 31/12/2025
Days on site: 2x per week
Pay Rate: £360 (Umbrella)
Join our dynamic data engineering team as a Senior Data Engineer, leveraging your extensive experience to architect, deliver, and optimise modern data pipelines on AWS. You will be instrumental in developing scalable solutions, driving best practices, and mentoring junior engineers within a collaborative trunk-based development environment.
Required Skills & Experience
* 7+ years hands-on experience in Python and PySpark for data engineering applications
* Deep expertise in AWS services, especially Redshift, Glue, Lambda, Step Functions
* Proficient in building CI/CD workflows using GitHub Actions
* Orchestration experience with Airflow (or similar tools such as Control-M)
* Strong command of SQL, including performance optimisation and data modelling
* Solid understanding of infrastructure as code, preferably with Terraform
* Experience with Docker for development and testing environments
* Knowledge of Oracle and Qlik Replicate/Compose for source data systems
* Familiarity with RBAC models and secrets management (GitHub Secret Manager)
* Adherence to coding standards such as PEP8; proven record of clean, maintainable code
* Unit testing experience using pytest
* Experience in collaborative ways of working, including pair programming and peer reviews
* Comfortable with Visual Studio Code as primary IDE
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.