AWS Data Platform Engineer | Hybrid (Manchester)

RED Global

Manchester

Hybrid

GBP 60,000 - 90,000

Full time

47 hours ago
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Job summary

RED Global is seeking an experienced AWS Data Engineering Consultant to design and optimize cloud-based data platforms and ETL/ELT workflows in a hybrid Manchester-area role. You will troubleshoot failures, enhance performance and support AI-ready vector data stores, collaborating with data architects and engineers. Start ASAP, length until EOY with extensions.

The role emphasizes hands-on technical leadership, data modelling and secure, scalable architecture across enterprise pipelines.

Qualifications

  • Proven experience building and troubleshooting enterprise-scale data pipelines.
  • Strong Python and SQL skills with Spark/PySpark experience.
  • Experience with AWS services (S3, Glue, Lambda, Redshift, Athena, EMR, DynamoDB).
  • IaC experience using Terraform and/or CloudFormation.
  • Understanding of data modelling, data quality, metadata and cloud architecture.

Responsibilities

  • Design and optimise AWS data platforms, ingestion pipelines and ETL/ELT workflows.
  • Investigate pipeline failures and performance bottlenecks, identifying root causes and solutions.
  • Review code, architecture and integration patterns to improve scalability, security and reliability.
  • Support vector data stores, metadata management and enterprise data integrations.
  • Work closely with Data Architects, Engineers and business stakeholders to deliver technical solutions.

Skills

AWS data platforms
Python & SQL
Spark / PySpark
Troubleshooting distributed processing
Data modelling & metadata

Tools

Terraform
CloudFormation

Job description

RED Global is seeking an experienced AWS Data Engineering Consultant to design and optimize cloud-based data platforms and ETL/ELT workflows in a hybrid Manchester-area role. You will troubleshoot failures, enhance performance and support AI-ready vector data stores, collaborating with data architects and engineers. Start ASAP, length until EOY with extensions.

The role emphasizes hands-on technical leadership, data modelling and secure, scalable architecture across enterprise pipelines.

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