Why This Role Stands Out
This is an exciting opportunity to build and optimize robust AWS data pipelines for a leading manufacturer, offering significant impact and valuable experience with key AWS services. You'll thrive here if you have a strong background in AWS data engineering, data warehousing, and a knack for transforming complex data into actionable insights. This hybrid role offers great flexibility and a chance to further develop your skills in a collaborative environment.
Quick Overview
Job Description
AWS Data Engineer - Contract (Outside IR35)
Location: Oxford
Working Patterns: Hybrid - 2 days on site, per week
Contract Duration: 6 months, extension likely
Opus have partnered with a leading manufacturer who're seeking an experienced AWS Data Engineer to help to design, build and optimise data pipelines to support business reporting, analytics and decision making.
You'll be working closely with engineering and technology stakeholders to help in the delivery of reliable data solutions.
The Role
This one is heavily focused on development and the maintenance of cloud-based data infrastructure. There is a strong focus on AWS Services, Data Modelling, and Pipeline Performance. This role will suit a candidate who's comfortable working with messy data and turning real-world data into trusted insights.
Responsibilities
- Design & build scalable data pipelines of AWS
- Ingest, transform and model data from multiple source systems
- Work with S3, Glue, Lambda, Athena, Redshift and related AWS Services
- Support CI/CD and infrastructure as a code
- Must have strong, commercial AWS (contract) Data Engineering experience
- Must bring solid knowledge of data warehousing and modelling
- Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial
- Must have experience with Redshift
- Experience with dbt / lake formation
- One or more AWS Certifications
- Reach out to Adam Akhtar at Opus for further information.
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